OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Industry: Research Services
Company Size: 201-500 employees

OpenAI

Savvy Admin PROD

**About The Role**

As a People Data Scientist, you will bring deep expertise in research science, measurement, and experimentation to OpenAI’s most important People programs. You will design studies, evaluate people processes, build research frameworks, and help leaders understand how we can better empower employees, strengthen organizational systems, and deliver exceptional employee experiences.

We’re looking for an experienced data scientist who can translate ambiguous People questions into rigorous research designs, validated insights, and actionable recommendations.

This role will be based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

**In This Role You Will**

- Design rigorous research and evaluation strategies for organizational health, manager effectiveness, employee experience, and talent outcomes.

- Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses for high-stakes People processes and AI-assisted workflows.

- Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact.

- Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving.

- Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines.

- Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization.

- Communicate findings through concise, executive-ready narratives.

**You Might Thrive In This Role If You**

- Deep curiosity, strong attention to detail, and passion for solving ambiguous and complex problems with creativity.

- Exceptional strength in research design, experimentation, measurement, causal inference, and statistical modeling, including hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation.

- High proficiency in R or Python and SQL, with experience working across complex, messy datasets.

- Experience building measurement systems, research programs, data products, reusable analytics frameworks, self-service tools, and governed analytical workflows.

- Ability to communicate complex methods and tradeoffs clearly to senior leaders, technical partners, and non-technical audiences.

**Preferred Qualifications**

- Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes in operational contexts, including familiarity with model evaluation methods.

- Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or a related field; PhD preferred.

**About OpenAI**

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $198K - $220K

People Data Scientist

Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.

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

Adobe

**About The Opportunity And Team**

Social Media, Creators, and Communities are transforming how brands build relevance and long-term customer relationships. These channels generate rich, fast-moving signals across culture, conversation, sentiment, and performance—introducing new challenges around measurement, attribution, and sustained impact across the entire customer journey.

Within the Growth Marketing & Insights organization, our team develops actionable Category & Customer Insights and measures Marketing Effectiveness as our dual purpose. We are a multidisciplinary team of change agents—data scientists, strategists, and analysts—who thrive in ambiguity, move fast with rigor, and tackle complex, evolving challenges. We enable decisions at the E-Team level and help the business move from insights to execution to growth. We partner closely with Marketers, Product, GTM, and Finance to bring clarity to emerging problem spaces.

**About The Role**

We’re looking for a Manager, Social & Influencer Measurement to lead how we define, measure, and optimize success across Social, Influencer, and Community marketing. It drives full-stack measurement and strategic impact for Adobe’s Social Marketing in Organic, Paid, and Earned channels.

You will be a builder of teams, systems, and standards, not only keeping pace with a fast-moving field, but leading innovation within it. You’ll manage and develop analytics and data science talent, own end-to-end measurement frameworks, and serve as a trusted thought partner to senior marketing leaders.

What You’ll Do

- Shape how Social and Influencer impact is measured and quantified, how insights are produced at scale, and how those insights translate into confident decisions, actions, and meaningful business outcomes.

- Lead and grow a team of analysts and data scientists, setting clear direction, prioritizing the right work, coaching for impact, and building durable systems that scale team effectiveness.

- Measure and evaluate end-to-end social-first initiatives (campaigns, announcements, launches, events), establishing reporting and optimization metrics across the funnel.

- Translate ambiguous and multi-dimensional signals into structured analysis, developing proxies and heuristics to connect upper-funnel outcomes (reach, attention, engagement, sentiment, influence) to business results (e.g., MAU, LTV, ARR).

- Set quarterly goals and establish operating rhythms. Monitor weekly and sometimes daily performance. Use data to guide investment and budget decisions across content creation and paid media. Balance customer acquisition cost, return on investment, and long-term brand impact.

- Build and scale analysis pipelines and data foundations, partnering with Data Engineering to ensure data quality, metric integrity, and reliable insights at scale; work with large, complex datasets, including text and social conversation data.

- Adopt and champion AI-first workflows (e.g., assisted analysis, synthesis, and reporting) to improve team productivity, speed to insight, and analytical leverage—while maintaining strong judgment, rigor, and accountability.

**What You’ll Need To Succeed**

Leadership & Management

- Over 3 years managing people, demonstrating success in building, leading, and developing high-performing analytics or advanced data analysis teams.

- Demonstrated ability to set priorities and expectations, manage tradeoffs, and drive execution in a fast-moving, ambiguous environment.

- A leadership style that is curious, results-focused, and grounded in ownership, continuous learning, and pushing the standard higher.

Analytics & Systems Thinking

- 8–10+ years of experience in marketing analytics, growth analytics, product analytics, or data science, with exposure to social, influencer/creator, or community measurement.

- Proven judgment solving problems without clear playbooks or ground truth, including non-routine analytical challenges requiring advanced analytical, statistical, or experimental methods.

- Strong analytical reasoning and comfort working with imperfect, fragmented, or non-attributable data.

Communication & Influence

- Ability to understand complex systems and explain them simply to both technical and non-technical audiences.

- Proven experience influencing senior and executive partners through clarity, structure, and data-driven storytelling.

- Trusted partner attitude with strong cross-functional instincts in large, matrixed organizations.

**Nice to Have**

- Experience with influencer/creator platforms, social listening tools, or content analytics

- Background in brand measurement, sentiment analysis, or community health metrics

- Experience scaling analytics practices for emerging or rapidly evolving marketing channels

**About Adobe**

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

**Let’s Adobe together**

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

**AI Use Guidelines for Interviews:**

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

**Expected Pay Range:**

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,100 -- $265,800 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $183,600 - $265,800

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

**State-Specific Notices:**

**California:**

**Fair Chance Ordinances**

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

**Colorado:**

**Application Window Notice**

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

**Massachusetts:**

**Massachusetts Legal Notice**

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Manager, Social & Influencer Measurement

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry: Professional Services
Company Size: 10,001+ employees

**Specialty/Competency: **Data, Analytics & AI

**Industry/Sector: **Not Applicable

**Time Type: **Full time

**Travel Requirements: **Up to 60%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

**Skills**

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge.

**Responsibilities**

-  Designing and implementing thorough data architecture strategies

-  Analyzing complex issues to create innovative solutions

-  Mentoring and guiding junior team members

-  Upholding standards in project deliverables

-  Building and maintaining client relationships

-  Developing a thorough understanding of the business environment

-  Managing and navigating complex scenarios effectively

-  Enhancing personal brand and technical skills

What You Must Have

-  Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

-  2 years of experience

What Sets You Apart

-  Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

-  Designing and implementing thorough data architecture strategies

-  Developing and documenting data models, data flow diagrams, and data architecture guidelines

-  Maintaining data architecture compliance with data governance and data security policies

-  Collaborating with business stakeholders to understand their data requirements

-  Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage

-  Developing and deploying scalable data storage solutions using AWS, Azure and GCP services

-  Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow

-  Enhancing Cloud resources for cost, performance, and scalability

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Data Engineer - Senior Associate

Hayden AI powers safer, smarter, and more efficient cities. We combine advanced vision AI with purpose-built, vehicle-mounted hardware to analyze urban environments real-time. Cities use our technology to make streets safer and improve transit performance for everyone. Learn more at www.hayden.ai

Industry: Software Development
Company Size: 51-200 employees

Hayden AI

**About Us**

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

**Job Summary**

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

**Responsibilities**

- Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

- Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

- Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

- Serve as first responder for data discrepancy and freshness issues.

- Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

- Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

- Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

**Required Qualifications**

- Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

- 1–3 years of experience in data analytics

- Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

- Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

- Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

- Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

- Solid understanding of descriptive statistics and ability to interpret analytical results.

- Strong communication skills with the ability to present findings to both technical and business audiences.

**Preferred Qualifications**

- Master's or PhD in Data Science, Transportation, or a related field.

- Previous experience working with geospatial analytics and spatial datasets.

- Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

- Experience with Grafana or similar operational monitoring tools.

- Exposure to cloud platforms, especially AWS.

- Prior experience in a startup environment and a desire to make a significant impact.

Data Analyst

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