Quinn is the AI scientist for high-stakes decisions in drug development, from target discovery to commercial strategy. Defensible answers in days instead of months.

Industry: Biotechnology Research
Company Size: 2-10 employees

Quinn

Savvy Admin PROD

**Quinn (iollo) ** | San Francisco + Remote (US)

**Compensation **: $300k–$500k+ OTE (base + equity + success fees)

iollo is Stanford-founded and Y Combinator-backed. We've built Quinn, an AI scientist that does the work of a full research team in days for Fortune 500 pharma companies.

The role: **lead how Quinn enters the pharma R&D market at the executive level. **

**What you'll do **

- Build relationships with pharma R&D leadership

- Navigate enterprise pharma at the executive level

- Help land enterprise partnerships that require executive-level trust

**You may be a good fit if you have **

- 10+ years in pharma or biotech with active, trust-based executive relationships

- Experience bringing new technology or services into pharma R&D workflows

- Scientific literacy to discuss drug development decisions credibly

- A background in life sciences consulting, biotech BD, or pharma-focused SaaS

- Personally generated or influenced $10M+ in enterprise partnerships or revenue

**You'll stand out if you **

- Are already known and trusted by the people who make program-level R&D decisions

- Have worked across multiple large pharma organizations, not just one

You'd shape how Quinn reaches pharma R&D. Quinn changes how pharma makes its highest-stakes decisions. You make sure the right people see it. If you've spent your career earning that access, let's talk.

VP of Strategic Partnerships, AI Scientist for Pharma

We empower generations to explore the wonder of childhood and reach their full potential.

We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it.

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies.
 
Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies.

Mattel is recognized as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators.

Industry: Manufacturing
Company Size: 10,001+ employees

Mattel, Inc.

**CREATIVITY IS OUR SUPERPOWER. ** It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

**The Team:**

The Product Quality Analytics team operates within the Global Quality, Safety, Sustainability and Regulatory Compliance organization and provides data, analytics, insights, and data-driven decision support across Mattel brands.

The team is responsible for delivering trusted reporting, interactive dashboards, and advanced analytics that help the organization understand product performance, consumer feedback, safety trends, and risk indicators. These insights support product development, corrective action effectiveness, and continuous improvement initiatives, ensuring Mattel delivers the highest-quality products to consumers worldwide.

**The Opportunity:**

We are seeking a Lead Data Scientist to drive advanced analytics and AI initiatives within our Product Quality Analytics organization. This role sits at the intersection of data science, product quality, and business strategy, and is responsible for leading high impact initiatives that transform complex data into scalable insights and intelligent systems.

You will own the end-to-end lifecycle of data science solutions, from problem framing and modeling to deployment and adoption, while influencing stakeholders and mentoring team members. This is a highly visible role with the opportunity to shape how analytics and AI are embedded into quality decision making across the enterprise.

**What Your Impact Will Be**

**Leadership and Strategy**

- Lead the design and execution of advanced analytics and machine learning initiatives aligned to product quality and consumer insights

- Partner with key stakeholders to define high value business problems and translate them into scalable data science solutions

- Act as a thought leader in AI and machine learning, driving adoption of modern techniques including generative AI, natural language processing, and predictive modeling

**Modeling and Analytics**

- Develop and deploy models such as classification, forecasting, anomaly detection, natural language processing, and causal inference

- Apply statistical techniques such as regression, time series analysis, and experimentation to solve complex business challenges

- Build frameworks for early signal detection, quality risk prediction, and root cause analysis

**Productionization and Implementation**

- Collaborate with data engineering to productionize models using Google Cloud Platform tooling such as Agent Platform, Cloud Run, and Dataform

- Contribute to scalable data products and pipelines that enable self service analytics

- Ensure models are monitored, maintained, and continuously improved with an MLOps mindset

Collaboration and Cross Functional Partnership

- Partner with data engineering, analytics, and business teams to align on priorities, data needs, and solution design

- Work across teams to ensure data consistency, shared understanding of metrics, and scalable solutions

- Bridge technical and non technical stakeholders by communicating clearly and driving adoption of data science solutions

**What We’re Looking For**

**Education and Experience**

- Degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field

- 5 or more years of experience in data science with demonstrated ownership of end to end projects

- Experience leading projects or mentoring team members in a formal or informal capacity

**Technical Skills**

- Strong programming skills in Python or R

- Advanced SQL and experience working with large scale datasets

- Experience with machine learning frameworks

- Familiarity with cloud platforms, preferably Google Cloud (BigQuery, Vertex AI)

- Experience working with unstructured data such as documents, videos, or images is a strong plus

**Analytical Expertise**

- Deep knowledge of statistical modeling techniques including regression, experimentation, and forecasting

- Experience with A B testing, causal inference, and predictive modeling

- Strong problem solving skills with the ability to connect data insights to business strategy

- Experience with prompt and context engineering

- Experience with agentic workflows and platforms

**Business and Communication**

- Proven ability to influence stakeholders and drive decisions through data

- Strong communication skills with the ability to simplify complex topics

- Comfortable working in ambiguous and fast paced environments

- Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.

- The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential.

Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!

**How We Work**

We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors

- We collaborate Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.

- We innovate At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.

- We execute We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

**Who We Are**

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.

Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.

Visit us at https //jobs.mattel.com/ and www.instagram.com/MattelCareers .

Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law.

Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.

Videos to watch

The Culture at Mattel

Corporate Philanthropy

Lead Data Scientist

Meta's mission is to build the future of human connection and the technology that makes it possible. 

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

Industry: Software Development
Company Size: 10,001+ employees

AI Research Scientist — Agentic AI for Materials Discovery

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text to speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text to speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Speechify also provides a voice over, voice cloning, and dubbing studio for businesses and creators and a text to speech API for developers. Through its products, Speechify is the largest provide of Speech AI in the world.

Cliff Weitzman founded Speechify to overcome his own dyslexia. Growing up, Cliff’s dad would read him Harry Potter because he couldn't do it himself. Cliff’s dad was his hero. But without reading, Cliff couldn't become the person he wanted to be. So, he learned to code and created Speechify to read books to himself.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Revolut, Stripe, and Bolt, and many founders of their own companies.

Programming languages across Speechify include React, Typescript, NodeJS, Kotlin, Python, and Go.
We’d love to meet you! Please apply here: https://job-boards.greenhouse.io/speechify.

Industry: Software Development
Company Size: 51-200 employees

Speechify

**Mission**

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

**About SIMBA Voice Agents by Speechify**

SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving.

**About the Role**

We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale.

This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on.

**What You'll Do**

- Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale

- Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them

- Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team

- Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created

- Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync

- Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on

**What We're Looking For**

- Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean

- You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones

- Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs

- You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively

- You ship fast, keep things simple, and don't wait for permission

**Nice to Have**

- Experience building GTM systems for an AI, voice, or developer-tools product

- Familiarity with contact center, CX, or telephony buyer personas

- Background at a B2C company that also runs a B2B or API sales motion

**Why Speechify SIMBA**

Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact.

**Think you’re a good fit for this job?**

Tell us more about yourself and why you're interested in the role when you apply.

And don’t forget to include links to your portfolio and LinkedIn.

**Not looking but know someone who would make a great fit?**

Refer them!

**Speechify is committed to a diverse and inclusive workplace.**

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Go-to-Market Engineer - Vienna, Austria

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Industry: Computer Hardware Manufacturing
Company Size: 10,001+ employees

NVIDIA

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning.

Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing—spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers!

Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you!

**What You'll Be Doing**

- Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.

- Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.

- Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale.

- Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures.

- Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops.

- Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving.

**What We Need To See**

- Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.

- 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains.

- Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems.

- Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.

- Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product.

**Ways To Stand Out From The Crowd**

- Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms).

- Experience with large-scale model training and fine-tuning—including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models.

- Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads.

- Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads.

- Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

, , JR2018110

Senior Quantum AI Research Scientist,  Applied Research

Wpromote is the independent marketing agency that breaks down the barriers between brand and the bottom line. We've joined forces with creative powerhouse Giant Spoon to help our clients transform bold ideas into decisive action and business impact by uniting strategy, media, creative, and data into one fully integrated playbook. Trusted by high-growth innovators like Vuori and Peacock, category leaders like Intuit QuickBooks and Strava, and bold brands like Equinox and Aritzia, we work with brands ready to unleash their challenger spirit because they refuse to stand still. 

Our experts understand how to make the most of every touchpoint across the full customer journey to drive business outcomes CFOs love. By harnessing, augmenting, and accelerating the power of human intelligence and creativity with our industry-leading Polaris IQ technology, we stay ahead of the culture and make sure our clients are ready to move first, move fast, and move confidently so they can outsmart the competition and win.

Industry: Advertising Services
Company Size: 501-1,000 employees

Wpromote

**The Role**

Wpromote is looking for a sharp Paid Social Manager to manage scalable full-funnel paid social advertising campaigns across a portfolio of clients. This is a hands-on role: build campaign strategy, execute high-quality activations, optimize to business KPIs, and partner with cross-functional counterparts such as Creative leads to test social-first creative as well as Data Science leads to operationalize modern measurement. We’re looking for someone who’s dedicated to cultivating curiosity, operates with a learning mindset, and is passionate about driving results while having fun along the way. If we could describe an ideal candidate for this role, words like analytical, strategic, proactive, collaborative, conversion-focused, and creative come to mind.

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

- Remote-first culture

- Unlimited PTO

- Extended Holiday break (Winter)

- Flexible schedules

- Work from anywhere options*

- 100% paid parental leave

- 401(k) matching

- Medical, Dental, Vision, Life, Pet Insurance

- Sponsored life insurance

- Short Term Disability insurance and additional voluntary insurance

- Annual Class Pass credits and more!

The anticipated annual salary for this role will range from $70,000 - $85,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).

- This position may be performed remotely in most states within the US, with some exclusions

- While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

- This position is not eligible for immigration sponsorship

~~Important Notice: Beware of Job Scams~~

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

**You Will Be**

- Formulate full-funnel paid social strategies that tie media decisions to client business objectives (e.g., revenue growth, CPA, LTV, lead generation, brand awareness)

- Own day-to-day campaign setup, activation, and optimization across platforms including Meta, TikTok, Snap, Reddit, Pinterest, X, Nextdoor, and other relevant channels

- Lead client communications for assigned accounts (with Director support), including weekly reporting, optimization rationale, and recommended next steps

- Translate creative insights into testable hypotheses and partner closely with Creative leads (in-house teams, Wpromote creative retainers, or third-party agencies) to iterate on social-first creative assets and sequencing

- Design and run experiments and A/B tests, capture learnings, and scale winning tactics; track experiment velocity and ensure insights are documented

- Apply strict QA, tagging, and tracking discipline to ensure accurate delivery and measurement integrity

- Build and maintain measurement-accurate setups, including platform pixel tagging, server-to-server integrations (CAPI/SDK where applicable), and first-party signal capture; leverage tools such as Events Manager and Pixel Helper to identify and escalate gaps to senior measurement partners

- Participate in cross-functional pod workflows (Creative, Data Strategy, Paid Search, Programmatic) and execute against shared KPIs

**You Must Have**

- 2-3+ years of paid media experience (paid social, paid search, and/or media buying) in an agency or in-house/client environment

- Hands-on experience building, optimizing, analyzing, and reporting on paid social campaigns across Meta and at least one additional platform (e.g., TikTok, Snap, Reddit, Pinterest, LinkedIn, X, Nextdoor, Google)

- Strong operational fluency with Meta Ads Manager and other platform UIs; comfortable exporting, analyzing, and manipulating campaign data

- Familiarity with Google Analytics / GA4 (or tools such as Northbeam, Adobe, TripleWhale, etc.) for basic cross-channel and assist analysis

- Solid skills in Excel and/or Google Sheets

- Comfortable working independently in a fast-paced, deadline-driven environment

- Highly detail-oriented, with strong QA habits and a bias toward documenting processes and results

- Facebook Blueprint certification preferred

**Nice To Have**

- Experience leveraging Smartly

- Basic SQL skills and/or experience working with BI tools

- Exposure to server-side tracking (CAPI), enhanced conversions, and incrementality testing

- Experience running audience and creative tests at scale, with familiarity using asset-level diagnostics (e.g., thumbstop rate, hold rate)

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Paid Social Manager

At Prolaio, we want to help patients live full and satisfying lives, to prevent and control their illnesses, to give them and their care teams information that can improve their well-being and shape effective care choices.

Our founders are experts in cardiovascular medicine and science. They saw that making new treatments isn’t enough. We need to rethink how care is delivered, so that every patient gets the treatment they need at the right time.

Hearts work on their own times. Not on appointment times. Having a doctor’s appointment once every 3-6 months means missing all the signals that could be happening in between. A connected platform can solve this problem.

We envision a future where patients are seen when they need to be seen, and not when they don’t. They get the care they need, like medication changes, without going to the hospital. Doctors and hospitals get more efficient, the system saves money, and patients live better. This is precision cardiology, and we know it’s within reach.

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Prolaio

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

**The Overview **

The Senior Data Scientist, Clinical will leverage advanced data science methodologies to advance the science and clinical applications of digital biomarkers. This role involves developing rigorous technical plans and executing complex analyses on multimodal datasets (digital biomarkers from wearable data, electronic health records [EHR], claims) for publication in high-impact medical journals. The successful candidate will build pipelines to prepare analytic datasets from wearable data and EHR and utilize Python and/or R to develop multimodal risk prediction models to describe, predict, and estimate clinical effects.

**The Specifics **

- **Clinical Analysis & Publication **: Design and execute statistical analyses on large clinical datasets. Author abstracts, statistical analysis plans, conference presentations, and manuscripts for publication in peer-reviewed medical journals.

- **Data Pipeline Development: ** Build, document, and maintain reproducible data pipelines to curate analytic datasets, combining data from multiple assets (e.g., continuous signal data, claims, electronic health records, etc.).

- **Risk Prediction Modeling **: Develop and deploy time-varying and multimodal risk prediction models which extract insights from contextual health data and physiologic signals

- **Scientific Leadership **: Contribute to rigorous science that expands our understanding of digital biomarkers and clinical endpoints in cardiovascular disease in order to enable Prolaio’s ability to support clinical research and cardiovascular care.

- **Cross-Functional Collaboration **: Collaborate cross-functionally with data engineering, operations, clinical, and other teams to ensure data analyses and modeling pipelines align with cross-team standards, scientific validity and company objectives.

- **Advanced Data Abstraction **: Utilize both traditional programmatic and (where applicable) modern LLM-based techniques for complex data processing and clinical abstraction.

**Why Prolaio? **

- **Impactful Work: ** You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.

- **Innovative Environment: ** You will be part of an organization doing something that’s never been done before.

- **Professional Growth: ** You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.

- **Collaborative Team: ** You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

**Who You Are? **

- **Education & Experience: ** PhD, MD, or master’s degree. 3+ years of academic or industry experience post-PhD/MD or 5+ years post-master’s in any of the following fields: applied statistics, biostatistics, epidemiology, health economics, data science, health informatics, or a related field.

- **Scientific Track Record: ** A strong track record of peer-reviewed scientific publications, with experience communicating scientific results through presentations, abstracts, and manuscripts.

- **Healthcare Data Expertise: ** Experience preparing and analyzing large healthcare data sets, such as claims, electronic health records, or clinical trials. Experience with the specification of clinical event definitions and familiarity with healthcare data standards/ontologies (e.g., FHIR, OMOP, ICD-10, CPT).

- **Time-Series Data: ** Experience processing and analyzing high-volume time-series data.

- **Technical Proficiency: ** Experience in Python for machine learning and pipeline development. Experience in R for biostatistical inference is a plus.

- **Core Expertise: ** Deep expertise in at least TWO or more of the following three areas:

- **Agentic LLMs: ** Experience designing and validating LLM-based agentic pipelines (e.g., with LangChain, Vertex AI, etc.). Experience fine-tuning LLMs is a plus.

- **Machine learning for multimodal data **: Completed projects in Python to develop predictive health risk models using common data sciences libraries (e.g., scikit-learn, etc.) and completed projects utilizing deep learning frameworks (e.g., PyTorch, Jax) for time-series, computer vision, or multimodal data.

- **Biostatistics & Epidemiology **: Proven ability to implement models for statistical inference, with specific expertise in longitudinal health data, time-to-event (survival) analysis, and disease trajectories. Deep understanding of epidemiologic concepts (bias, confounding, data missingness) and familiarity with study design for observational studies and randomized controlled trials.

- **Tools for data science **: Familiarity with modern coding standards for data science including reproducible environment management (e.g. poetry, uv, renv), version control (Git), robust documentation, report generation (e.g. Quarto), and SQL. Experience with production tools for continuous integration, deployment, and experiment tracking (e.g. MLflow and metaflow)

- **Communication **: Ability to work cross-functionally and seamlessly translate highly technical concepts to non-technical audiences and stakeholders.

**Additional Qualifications (Nice to Haves) **

- Prior research or industry experience in cardiovascular disease (CVD) or digital cardiology.

- Prior experience with data from wearables or other sensor data.

**Why You’ll Love Working Here **

- **Meaningful Compensation **: Competitive salary, performance bonus, and equity so you can share in what we build.

- **Great Health Coverage: ** Medical, dental, and vision plans with multiple options and strong company contributions.

- **Flexible Spending Perks: ** HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.

- **Time to Recharge: ** Generous paid time off, sick leave, and company holidays.

- **Family-First Benefits **: Paid parental leave, caregiver leave, and support for growing families.

- **Security & Peace of Mind **: Company-paid life insurance and short- and long-term disability coverage.

- **Plan for the Future **: 401(k) plan to help you build long-term financial security.

- **Care When You Need It: ** Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $136,000.00 (Exact Compensation may vary based on skills, experience, and location)

Sr. Data Scientist, Clinical

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

Industry: Software Development
Company Size: 5,001-10,000 employees

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

**PLEASE NOTE: ** The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.

**AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:**

- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.

- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.

- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.

- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.

- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

**OUR IDEAL CANDIDATE WILL HAVE:**

- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).

- 8+ years of relevant data science or related experience.

- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.

- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).

- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.

- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

~~Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.~~

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

-  The estimated base salary range for this role is $168,000 - $220,500.

- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Senior Data Scientist - Product

Gridware is a technology company focused on protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced active grid response platform uses high-precision mechanical sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is headquartered in San Francisco, California, and is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Industry: Software Development
Company Size: 51-200 employees

Gridware

**About Gridware **

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

**Role Description **

As a Senior Data Scientist, you will be embedded within Gridware’s Fleet team, driving fleet performance optimization across our network of IoT devices.

You will work across hardware, firmware, connectivity, and backend systems to understand real-world system behavior and optimize performance end-to-end. A core focus of this role is balancing competing system constraints&mdash;such as **power consumption, data fidelity, connectivity reliability, and anomaly detection latency **&mdash;to ensure optimal fleet performance.

This role combines modeling, experimentation, and hands-on investigation to ensure reliable, scalable system performance in dynamic, real-world environments.

**Responsibilities **

- Develop models and analyses to optimize **system performance across competing constraints ** (e.g., power usage vs data quality vs responsiveness)

- Define and implement **end-to-end observability **, establishing metrics across system components and dependencies

- Design and run experiments (e.g., pre/post, control vs test) to evaluate changes and detect regressions at both component and system levels

- Build and refine **anomaly detection and failure analysis ** methods across complex, real-world data

- Lead **ad hoc investigations ** into system issues, identifying root causes and driving resolution with cross-functional teams

- Translate insights into actionable recommendations across **Firmware, Hardware, Software, and Operations **, driving measurable improvements in system behavior

- Develop predictive systems for **early issue detection and performance forecasting **, including in environments with limited historical data

- Continuously evolve analyses into **scalable intelligence systems ** that support monitoring, decision-making, and automation

**Required Skills **

- 5+ years of experience in data science working on **production systems or real-world applications **

- Proven experience **building, deploying, and maintaining models in production environments **

- Strong proficiency in **Python and SQL **

- Experience working with **complex, real-world datasets ** (e.g., time-series, event-based, or system-generated data)

- Strong foundation in **statistical analysis, experimentation, and/or anomaly detection **

- Proven ability to **bring structure to ambiguous, open-ended problems **, iterating quickly to drive toward practical, high-impact solutions (80/20 mindset)

- Experience working cross-functionally with engineering and operational teams

**Bonus Skills **

- Experience working on **distributed hardware/software systems ** such as robotics, autonomous vehicles, IoT fleets, charging infrastructure, or energy/grid systems

- Prior ownership of **end-to-end performance, reliability, or optimization ** for large-scale, real-world systems operating in dynamic environments

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

**Benefits **

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)

Paid parental leave

Alternating day off (every other Monday)

“Off the Grid”, a two week per year paid break for all employees.

Commuter allowance

Company-paid training

Senior Data Scientist, Fleet Performance Optimization

Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 

We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

Industry: Retail
Company Size: 10,001+ employees

Walmart

Position Summary...

What you'll do...

As part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems.

- Immigration Sponsorship is not available in this role

About Emerging Tech:

Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop.

As a Senior Data Scientist you will:

- Contribute as a hands-on builder focused on model development and rapid experimentation.

- Execute complex deep learning and multimodal modeling work with a production mindset.

- Partner closely with engineering to deploy, monitor, and iterate on models in production.

- Influence adjacent teams through strong technical judgment and collaboration.

- Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters.

Experience we are looking for:

- 3–6+ years in data science, deep learning, or applied ML.

- Proven, hands-on expertise with modern deep learning frameworks.

- Experience training, finetuning, and evaluating large models.

- Ability to work with large datasets and curate domain specific training data.

- Track record of close collaboration with engineering partners.

- Strong analytical skills and clear, concise communication.

- Research mindset with real world impact; publications are a plus, not a requirement.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

~~The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.~~

Your Career Journey at Walmart

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:

We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position.

If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

**For Information About Benefits And Eligibility, See One.Walmart.**

Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00

Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

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**Minimum Qualifications...**

~~Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.~~

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

**Preferred Qualifications...**

~~Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.~~

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Senior Data Scientists, Conversational AI

Brown & Brown Insurance delivers risk management solutions to help protect and preserve what our customers value most. Our three business segments—Retail, Programs and Wholesale Brokerage—offer a wide range of insurance solutions to businesses and individuals.

We are one of the insurance industry’s most powerful and influential leaders, with a strong, deeply rooted cultural foundation built on integrity, innovation, superior capabilities and discipline. The Power of WE ignites our performance, and while diverse and varied in abilities and experience, we are all connected through our core values, a commitment to our local communities and a shared mission—always doing what is best for our customers.

Brown & Brown is proud to be certified as a Great Place to Work®, and we are always actively looking for talented teammates who embrace our culture to join our winning team.

Find us on the NYSE as BRO.

Industry: Insurance
Company Size: 10,001+ employees

Brown & Brown Insurance

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Arrowhead Intermediaries is looking for a Senior Data Scientist to join our Data & Analytics Team!

Join us as a Senior Data Scientist, with a strong focus on how AI and large language models can help a business win – not just how to run a better model. You are comfortable bridging the gap between cutting-edge technology and practical business constraints, asking questions that actuaries, underwriters, and business leaders haven’t thought to ask yet, and finding ways to answer them. You take ownership of outcomes and not just outputs. This is an opportunity to shape how a leading global insurance intermediary thinks about AI-driven underwriting that improves risk selection, enhances pricing models, and drives profitability across our property and casualty insurance products.

You will use generative AI as a force multiplier – enabling you to independently prototype data pipelines, unlock alternative data sources, and deliver end-to-end solutions that would traditionally require multiple engineering handoffs. You are proactively identifying where AI can move the needle on underwriting profitability and risk selection.

Most importantly, you are a team player. You value working in a collaborative environment, helping others succeed and contributing to shared outcomes with humility, curiosity, and clear communication.

**Job Duties**

- Identify, extract, and integrate non-traditional data sources into underwriting and pricing workflows using generative AI, LLMs, and AI-assisted pipeline development

- Prototype, build, and iterate on data enrichment pipelines rapidly, validating signal quality and relevance before integration into production models – expanding the team’s data capabilities without traditional engineering dependencies.

- Design, build, and maintain advanced predictive models for risk frequency, severity, and loss ratio that directly inform point-of-sale underwriting decisions.

- Collaborate closely with actuaries and fellow data scientists to ensure all models are actuarially sound, statistically defensible, and aligned with pricing objectives.

- Own models end-to-end — from hypothesis formation and data collection through to production deployment and ongoing monitoring.

- Apply the latest generative AI tools, agentic frameworks, and LLM capabilities to real underwriting and pricing problems — staying current on developments and evaluating new approaches proactively.

- Ensure all solutions are maintainable, well-documented, and consistent with established team standards for reproducibility and deployment.

- Partner directly with underwriters and business leaders to understand portfolio needs, translate business problems into analytical solutions, and communicate findings clearly to non-technical stakeholders.

- Serve as a technical authority and mentor for the broader data science team — elevating the team's fluency in generative AI tooling and best practices.

- Contribute to a collaborative, standards-driven team environment where your work can be maintained and built upon by others.

**Basic Qualifications**

- 5+ years of experience in data science or applied machine learning, with demonstrated end-to-end model ownership from data collection through production deployment. You can lead projects independently while keeping stakeholders aware of progress, risks, and limitations.

- Hands-on experience with large language models and generative AI frameworks, including Microsoft Foundry and/or Azure OpenAI endpoints, as well as LLM orchestration tools such as LangChain, LangGraph, or equivalent R-based tools such as ellmer.

- Proficiency in R and/or Python, with comfort working across both languages in a production environment.

- Strong foundation in statistical modeling, including GLMs, gradient boosting, and other techniques used for risk assessment and pricing.

- Experience building and deploying models in cloud-based production environments (Azure preferred).

- Demonstrated ability to communicate complex technical findings clearly to business stakeholders (written, verbal, and data visualization).

- A strong appreciation for contributing and maintaining well-written documentation. You value version control (git).

- Strong problem-solving orientation with a bias toward action and delivery.

- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.

**Preferred Qualifications**

- Experience in property and casualty insurance, specialty lines, or a related financial services domain with familiarity with underwriting workflows and pricing concepts.

- Familiarity with actuarial methods, GLM-based pricing, or experience collaborating with actuarial teams.

- Experience with Posit Connect, Posit Workbench, Shiny, or Quarto for production deployment and reporting.

- Knowledge of web scraping, API integration, or unstructured data extraction pipelines.

- Demonstrated ability to mentor data scientists and elevate team technical capabilities.

- Experience setting up or contributing to MLOps practices, including model versioning, code reproducibility management, and CI/CD for analytical pipelines.

**Pay Range**

$120,000.00 - $160,000.00 Annual

~~The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.~~

**Teammate Benefits & Total Well-Being**

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

- Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance

- Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement

- Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services

- Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

~~Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.~~

**The Power To Be Yourself**

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.

Senior Data Scientist - AI

At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome.

Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients.

Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do.

Review our Social Media Community Guidelines at: https://www.bms.com/social-media-community-guidelines.html

Industry: Pharmaceutical Manufacturing
Company Size: 10,001+ employees

Bristol Myers Squibb

**Working with Us**

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us .

**Summary**

As a Senior Data Scientist within Bristol Myers Squibb's AI Venture Studio delivery team, you will be a hands-on senior individual contributor who helps convert ambiguous scientific and business opportunities into measurable AI product hypotheses, experiments, and working solutions. You will partner with AI Engineers, Data Engineers, App/Cloud Engineers, Frontend Engineers, product owners, and domain experts to build and evaluate AI systems across R&D, Commercialization, Manufacturing, and Enabling Functions.

The role sits at the edge of applied data science and AI engineering you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust. You will help define the good analytical context agents need to perform reliable work, including query history, column values, explicit instructions, memory, data tools, warehouse context, and curated source meaning.

BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs. This is a role for someone excited to work hands-on with the latest AI tools and frontier technologies, pushing the limits of what technology can do to help BMS discover, develop, and deliver innovative medicines.

**Key Responsibilities**

**AI/ML Experimentation and Product Prototyping**

- Frame ambiguous business and scientific questions into measurable AI product hypotheses, success metrics, evaluation plans, and rapid experiments.

- Contribute to six-sprint, 12-week AI Accelerator agile cycles by testing hypotheses, validating AI product increments, and adapting analyses during two-week sprints.

- Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services.

- Support sandboxed data problem solving in non-production environments, enabling agents and analysts to branch, transform, test, and audit code-plus-data experiments before promotion.

- Evaluate and curate the analytical context agents and analysts rely on, including explicit instructions, memory, data tools, and curated meaning from source materials and recommend improvements based on measured impact on agent quality. Develop analytical features, embeddings, classifiers, ranking/scoring methods, recommendation logic, simulation approaches, or optimization methods as needed for product outcomes.

- Partner with Data Engineers to shape reliable datasets, retrieval corpora, metadata, and feature pipelines using S3, Athena, PostgreSQL/RDS, vector databases, and knowledge graphs.

**Agentic AI, Retrieval, and Evaluation Science**

- Design and execute evaluations for LLM, RAG, and agentic workflows, with emphasis on context quality, knowledge curation, semantic evolution, and model quality.

- Build evaluation rubrics, golden datasets, structured output validation, error taxonomies, hallucination risk measurement, and SME review loops.

- Use tools such as LangGraph, LangSmith, PydanticAI, or similar frameworks to test agent behavior, retrieval quality, reasoning traces, and workflow reliability.

- Evaluate whether curated enterprise context improves agent quality, reliability, traceability, and decision usefulness compared with raw document retrieval.

- Assess model and agent outputs for quality, uncertainty, calibration, bias, hallucination risk, traceability, and fitness for intended use.

- Explore approved proprietary and open model options through enterprise channels and recommend model/task pairings based on evidence, risk, cost, and performance.

**Decision Science, Analytics, and Impact Measurement**

- Define KPIs and analytical measurement plans for AI products, including adoption, user behavior, workflow efficiency, scientific utility, and business value.

- Use bi-weekly demos, sprint reviews, stakeholder feedback, and performance results to measure MVP progress and assess readiness for scaling or production transition.

- Apply statistical modeling, experimental design, causal inference, or quasi-experimental methods where appropriate to separate signal from noise.

- Create clear analyses, visualizations, and narratives that help product teams and stakeholders understand model behavior, limitations, and opportunities.

- Partner with responsible AI, security, quality, and domain experts to ensure evaluations and analytics respect data privacy, scientific integrity, and enterprise governance.

**Reusable Patterns, Collaboration, and Technical Leadership**

- Contribute reusable notebooks, context-quality evaluation harnesses, analytics templates, prompt/evaluation assets, and data science patterns that can be adopted across pods.

- Participate in code reviews, analysis reviews, design discussions, and technical problem-solving with engineering and product teams.

- Use coding agents and AI-assisted development tools effectively while validating outputs, documenting assumptions, and maintaining scientific rigor.

- Continuously refine analytical priorities and backlogs as insights emerge, incorporating stakeholder input, performance results, and lessons learned throughout MVP development.

- Coach peers on practical data science, evaluation design, measurement strategy, and evidence-based decision making in fast-moving AI delivery environments.

**Qualifications & Experience**

- Bachelor's or higher degree in Data Science, Statistics, Computer Science, Engineering, Bioinformatics, Computational Biology, Applied Mathematics, or a related scientific field.

- 5+ years of experience in data science, machine learning, applied AI, analytics, computational science, or related technology roles with increasing responsibility.

- Proficiency in Python, SQL, R and/or common data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, statsmodels, or similar tools and packages.

- Experience applying machine learning, statistics, NLP, information retrieval, experimentation, or decision science to real-world products or scientific/business workflows.

- Experience with LLM applications, RAG, agentic AI, prompt/evaluation design, structured outputs, context-quality evaluation, knowledge curation, and model quality assessment.

- Familiarity with AWS data and AI services such as S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock, or equivalent cloud tools.

- Experience with evaluation rubrics, hallucination risk measurement, causal inference, simulation, optimization, recommendation methods, and reusable evaluation harnesses.

- Familiarity with vector databases, knowledge graphs, embeddings, metadata strategy, and data quality practices.

- Familiarity with lightweight web prototyping tools such as Streamlit for sharing analyses and exploratory AI demos.

- Experience communicating quantitative findings, assumptions, limitations, and recommendations to technical and non-technical audiences.

- Effective use of coding agents or AI-assisted development tools such as Claude Code, Codex, Gemini CLI, GitHub Copilot, or similar tools.

- Excitement for experimenting with the latest AI tools and technologies while applying scientific rigor to help discover, develop, and deliver innovative medicines.

- Curious and inquisitive mindset, with comfort working in agile pods, learning new domains quickly, and adapting analysis plans as evidence emerges.

#AICP

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

**Compensation Overview**

Cambridge Crossing $151,280 - $183,319

Madison - Giralda - NJ - US $137,530 - $166,654

Princeton - NJ - US $137,530 - $166,654

Seattle - WA $151,280 - $183,319

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https //careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include

- Health Coverage Medical, pharmacy, dental, and vision care.

-  Wellbeing Support Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

-  Financial Well-being and Protection 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

**Work-life benefits include**

Paid Time Off

-  US Exempt Employees flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

-  Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

- Eligibility Disclosure T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

**Uniquely Interesting Work, Life-changing Careers**

With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

**On-site Protocol**

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

**Supporting People With Disabilities**

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

**Candidate Rights**

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/

**Data Protection**

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https //careers.bms.com/fraud-protection .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1602674 Senior Data Scientist

Senior Data Scientist

Founded in 2015, Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests - from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.

And we're hiring! If this strikes a chord with you, come build belonging with us: https://discordapp.com/jobs for openings.

Industry: Software Development
Company Size: 501-1,000 employees

Discord

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform:**play video games. ** Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Senior Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams. If you’re passionate about data, impact, and working on an amazing team, read on!

**What You'll Be Doing**

- Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing

- Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information

- Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes

- Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve

- Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly

- Collaborate with data and engineering teams to design scalable and future-proof instrumentation

**What You Should Have**

- 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics

- 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations

- 4+ years experience writing excellent SQL

- Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways

- 4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment

- A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

- Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

**Bonus Points**

- Passion for Discord or online communities

- Experience with technical leadership, being the point person for one or more stakeholder groups

- Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.

- Experience in the user engagement and growth problems

- Experience writing performant code in BigQuery SQL

- Experience with writing production ETL

~~Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.~~

~~The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.~~

**Why Discord?**

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. **Join us in our mission! Your future is just a click away!**

**Discord is committed to inclusion and providing reasonable accommodations during the interview process. **We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

~~**Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE. ** ~~

Senior Data Scientist, Analytics

Paramount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions.

Industry: Entertainment Providers
Company Size: 10,001+ employees

Paramount

**#WeAreParamount on a mission to unleash the power of content… you in?**

We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

We are seeking a Senior Data Scientist who is excited to build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will leverage rich datasets such as video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user- and session-level causal and predictive models. Key applications include identifying the drivers of retention, quantifying the impact of high-value user actions, forecasting content viewership, developing user segmentations for cohort-based targeting, and surfacing opportunities to enhance the user experience. Success in this role requires a strong foundation in Python and SQL, comfort writing production-quality code in a collaborative environment, effective communication skills, and a willingness to continuously learn new tools and techniques.

Your Day-to-Day:

-  Translate complex business problems into coherent, actionable quantitative solutions.

-  Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.

-  Deliver clear, impactful insights to stakeholders through effective communication.

-  Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.

-  Promote best practices across the data science and product analytics team.

Key Projects:

-  Leverage 1st / 2nd / 3rd party data to build global models that predict user behavior throughout their subscription journey (e.g., sign-up, churn)

-  Build models to identify and measure high-value user actions and drivers of habit formation.

-  Develop session-level predictions to uncover user intent at the start of a session.

-  Build models to predict content viewership and identify content traits that resonate most with each subscriber.

-  Create user segmentations that enable meaningful cohort-based targeting and support near- personalized experiences.

-  Perform diagnostic analyses such as evaluation of failed searches to surface opportunities for product improvement.

Basic Qualifications:

-  2+ years experience in Data Science and ML Engineering.

-  MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques.

-  Experience with both supervised and unsupervised learning methodologies.

-  Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.

-  Familiarity with well-known statistical and ML models and methods.

-  Ability to innovate without over-engineering.

-  Communicate concisely and persuasively with a wide variety of stakeholders.

-  Strong detail orientation with a penchant for data accuracy.

-  Must successfully pass a background check.

Additional Qualifications:

-  Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).

-  Experience with integrating AI solutions into existing business processes.

-  Experience using project management tools like those from Atlassian (JIRA, Confluence)

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.

**Additional Information**

Hiring Salary Range: $124000.0 - 186000.0.

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.

**What We Offer:**

- Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits

- Generous paid time off.

- An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.

- Opportunities for both on-site and virtual engagement events.

- Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

- Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

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