Data Scientist, People Analytics

About the Role
We are looking for a data scientist who combines strong quantitative rigor with a deep interest in human behavior. This role sits at the intersection of business analytics consulting and employee listening, shaping company-wide decisions through advanced analytics, survey insights, and behavioral data.
Role and Responsibilities
Drive company-level workforce strategy

• Lead high-impact analytics that inform strategic decisions on engagement, retention, performance, and organizational health
• Translate ambiguous business questions into structured analytical frameworks and measurable outcomes

Apply advanced quantitative methods to people data

• Use statistical modeling, causal inference, experimentation, and/or machine learning to understand employee behavior and outcomes
• Work with messy, real-world people data and integrate multiple data sources (survey, HRIS, behavioral data)

Evolve employee listening analytics

• Analyze Uber-wide survey data and behavioral signals (e.g., organizational network analytics)
• Improve measurement approaches (survey design) and uncover actionable insights on employee experience

Influence stakeholders at all levels

- Communicate complex findings clearly to both technical and non-technical audiences
Act as a thought partner to senior leaders, shaping decisions with data-backed recommendations

What the Candidate Will Need / Bonus Points
- Basic Qualifications -

- Master's or PhD in a quantitative field (e.g., I/O Psychology, Organizational Behavior, Behavioral Economics, Statistics, Data Science, or related)
- Proficiency in SQL
2+ years of industry experience using Python or R to analyze large-scale datasets

- Preferred Qualifications -

- PhD with 1+ years, or MS with 3+ years of experience in applied research or data science (ideally in a fast-paced, tech environment)
- Strong foundation in statistical modeling, causal inference, experimentation, and/or machine learning
- Background in people analytics, HR data, or behavioral science applications
- Experience with survey design and measurement, and/or organizational network analysis (ONA)
Demonstrated ability to leverage GenAI tools to automate, augment, or scale data analysis, insight generation, or research workflows

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.