About the Role
Uber Eats is seeking a highly skilled Senior Staff Data Scientist to join our team. In this role, you will drive improvements across various Consumer surfaces (e.g. Feed, Search), impacting millions of users globally. You'll apply your deep statistical expertise to guide decision-making, optimize product performance, and ensure that insights are grounded in rigorous methodologies.
You will work closely with machine learning models and recommendation systems, tackling complex challenges in personalization. Your work will also involve navigating the trade-offs between relevancy, scalability, and user engagement, helping to enhance the overall e2e user experience.
What You'll Do
Want more jobs like this?
Get jobs delivered to your inbox every week.
- Conduct robust analyses on complex datasets to identify product opportunities, shape roadmap priorities, and optimize user experiences across the app.
- Design and evaluate A/B tests and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights.
- Interrogate our recommendation systems and their underlying models and algorithms. Identify opportunities to improve them to improve e2e user experience.
- Work across teams to build and maintain frameworks for helping teams make the right decisions with respect to long term value.
- Develop rigorous evaluation metrics that reflect real-world product performance and align closely with user and business goals.
- Partner with product managers, engineers, and other scientists to translate open-ended product questions into structured analytical approaches.
- Provide mentorship and technical leadership to other scientists, promoting a culture of statistical excellence and continuous learning.
Basic Qualifications
- M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related quantitative field.
- Minimum 7 years of industry experience in data science or applied analytics.
- Strong fluency in experimentation design, causal inference, and observational data analysis.
- Proficiency with tools like Python or R for data manipulation, modeling, and visualization.
- Strong expertise in applying advanced statistical techniques, with a solid understanding of machine learning systems and models.
Preferred Qualifications
- PhD in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related quantitative field.
- Excellent communication skills - able to present statistical findings clearly and influence product and engineering decisions through data.
- Proficiency in developing insights to drive technical development and strategic direction.
- Proven experience serving as the technical lead across a wide-ranging data science domain.
- A strong product sense and the ability to balance analytical rigor with practical business impact.
- Experience and proficiency in building scalable analytical solutions and aligning teams to use them.
- Prior experience in consumer products and recommendation systems technologies.
- Plus if possessing applied knowledge of Generative AI technologies.
For New York, NY-based roles: The base salary range for this role is USD$241,000 per year - USD$268,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$241,000 per year - USD$268,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$241,000 per year - USD$268,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$241,000 per year - USD$268,000 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 https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action 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.