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

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**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

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 :

-  Stock

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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

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

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