Data Scientist II, People Analytics

About the Role

At Uber, People Analytics empowers leaders and employees to make evidence-based decisions by unlocking the value of people data. We deliver actionable insights across the employee lifecycle-from recruiting and onboarding to development, rewards, and retention-to drive both business and people outcomes.

We are seeking an experienced Survey Scientist to join our team. In this role, you will lead the design of psychometrically sound surveys, shape Uber's central employee listening program, and conduct advanced analytics to understand and improve engagement, experience, and productivity across our workforce.

\\-\\-\\-\\- What You Will Do ----

1. Design reliable and valid measurement tools to enhance employee listening.
2. Partner with stakeholders on survey design, methodology, and data interpretation.
3. Analyze both active listening (surveys) and passive listening (e.g., organizational network analytics) data to uncover insights on employee motivation, behavior, and experience.
4. Translate complex business problems into data-driven research initiatives with measurable outcomes.
5. Integrate, clean, and analyze people data from multiple sources, applying behavioral science to guide evidence-based decisions.
6. Communicate findings and recommendations to both technical and non-technical audiences to inform key business decisions.
7. Support the planning, execution, and stakeholder engagement of the survey program

\\-\\-\\-\\- Basic Qualifications ----

1. Master's or PhD in a quantitative social science field (e.g., Industrial/Organizational Psychology, Educational Psychology, Organizational Behavior, Behavioral Economics).
2. 3+ years of industry experience in People Analytics, consulting, or survey/employee research.

\\-\\-\\-\\- Preferred Qualifications ----

1. PhD with 3+ years of experience, or Master degree with 4+ years as a survey scientist, applied researcher or data scientist-ideally in the tech industry.
2. Strong background in survey design, psychometrics, and people data analysis.
3. Experience with organizational network analysis (ONA) a plus.
4. Familiarity with I/O psychology and broader people analytics topics.
5. Ability to translate business needs into research solutions and communicate insights clearly.
6. Skilled at managing complex, imperfect, and unstructured people data.
7. Strong project planning and management skills
8. Comfortable with ambiguity, adaptable in fast-paced environments, and innovative in solving complex problems.
9. Demonstrated ownership and ability to lead projects end-to-end

For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.