Accepting Applications
Full-time
On-site
Posted 2 weeks ago
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0 applications
Job Description
**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., 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.
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