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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
- 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)
- 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
- 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
- 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
Key Skills
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