Uber Senior Staff Scientist UberEats Consumer 

United States, West Virginia 

612630026

About the Role

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

• 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.