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 ----
- Serve as a strategic advisor to Marketing, Ops, and Product stakeholders through high-impact research.
- 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
- Develop survey instruments and sampling plans that produce reliable and valid data, and apply psychometric principles to ensure the accuracy of survey results.
- Oversee the end-to-end research lifecycle for the most complex, high-priority initiatives, ensuring technical excellence across the team.
- Synthesize and communicate insights to cross-functional teams to enable adoption of data-driven insights and recommendations
- Own and drive the strategic vision for company-wide survey governance and data integrity.
- Architect and implement novel survey methodologies and measurement frameworks
- Mentor and guide junior and mid-level scientists, providing technical oversight and fostering a culture of rigorous scientific inquiry.
---- Basic Qualifications ----
- 5–7+ years of work experience designing and conducting survey-based research
- Strong communication and collaboration skills, with the ability to present research findings to both technical and non-technical audiences
- Highly proficient in survey analysis skills, including regression analysis, factor analysis, cluster analysis, and conjoint analysis
- Strong coding skills in SQL; Python or R
- Ability to build and scale automated analytical pipelines for recurring global trackers
- Expertise working with Qualtrics or similar survey design tools
---- Preferred Qualifications ----
- PhD in social science with emphasis in quantitative methods, statistics, or similar field
- Previous experience in survey science team or data science team with a focus on brand marketing or consumer behavior
- Experimental analysis skills, including A/B testing
- Proven track record of solving ambiguous, large-scale business problems where standard methodologies may not apply.
For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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. 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.
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.
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.