Senior Survey Scientist

Uber
San Francisco, United StatesPosted 23 April 2026

Tech Stack

Job Description

Senior Survey Scientist Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** We are seeking a Senior Survey Scientist to create and leverage survey-related insights to inform Marketing, Ops, and Product strategies. The ideal candidate will have expertise in research design, psychometrics, and other quantitative methods, as well as a deep understanding of consumer behavior and market trends. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Serve as a **strategic advisor** to Marketing, Ops, and Product stakeholders through high-impact research. 2. **Design and conduct research studies** of survey and behavioral data, 1st and 3rd party, to **develop insights on our users**. Develop an understanding of demographic, behavioral and attitudinal trends and the general population 3. **Develop survey instruments and sampling plans** that produce reliable and valid data, and apply psychometric principles to ensure the accuracy of survey results. 4. Oversee the **end-to-end research lifecycle** for the most complex, high-priority initiatives, ensuring technical excellence across the team. 5. **Synthesize and communicate insights to cross-functional teams** to enable adoption of data-driven insights and recommendations 6. **Own and drive the strategic vision** for company-wide survey governance and data integrity. 7. Architect and implement **novel survey methodologies and measurement frameworks** 8. Mentor and guide junior and mid-level scientists, providing technical oversight and fostering a **culture of rigorous scientific inquiry**. \-\-\-\- Basic Qualifications ---- 1. 5–7+ years of work experience designing and conducting survey-based research 2. Strong communication and collaboration skills, with the ability to present research findings to both technical and non-technical audiences 3. Highly proficient in survey analysis skills, including regression analysis, factor analysis, cluster analysis, and conjoint analysis 4. Strong coding skills in SQL; Python or R 5. Ability to build
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