Senior Scientist - Marketplace Rider Segmentation

About the role and team

The Marketplace Segmentation team is at the forefront of optimizing Uber's core rides business by strategically differentiating product offerings to cater to diverse rider needs and market conditions. We build and maintain critical products like UberX Priority, Wait & Save, Comfort and Black. Our work also extends to strategic initiatives such as building a tiered portfolio and expanding Uber's global footprint. We leverage advanced matching algorithms, dynamic pricing, and machine learning to balance marketplace supply and demand, enhance rider experience, and drive incremental growth.

What you’ll do

• Define and drive the long-term technical strategy and architecture for the Marketplace Segmentation domain, influencing decisions across multiple teams and organizations.
• Lead large, ambiguous, and highly impactful initiatives that span multiple science and engineering teams and directly contribute to Uber's strategic goals for marketplace efficiency, growth, and profitability.
• Develop and implement solutions leveraging data driven approaches including ML, Optimization, Causal Inference.
• Design and analyze experiments, present results that provide actionable recommendations. Additionally, Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
• 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
• Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
• Coding ability to develop statistical analysis and algorithm prototyping in Python or R.
• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Preferred Qualifications

• Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.
• Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Experience in leading key technical projects and substantially influencing the scope and output of others
• Thought leadership to drive multi-functional projects from concept to production.
• Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform.
• Experience with exploratory data analysis, statistical analysis and model development
• Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
• For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
• 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.