Staff Scientist: Real-Time Pricing & Marketplace Science

Uber; Seattle (WA); On-site; USD 216,000 - 240,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is seeking a Staff Scientist in Seattle to lead the scientific strategy for real-time rider pricing within the Rider Pricing and Incentive team. You will develop data-driven insights and pricing models, influence executive roadmaps, and deliver productionized results with cross-functional partners in Product and Engineering.

The role focuses on building scalable pricing algorithms, measurable impact, and setting guardrails for experimentation and causal inference across the organization.

Qualifications

• Ph.D., M.S., or B.S. in Economics, OR related quantitative fields.
• 6+ years (M.S./Ph.D.) or 8+ years (B.S.) of industry experience building, deploying, and scaling quantitative models in production environments.
• Deep expertise in statistical inference, advanced experimental design (e.g., switchbacks, cluster-randomized trials), and quantitative economic modeling.
• Proficiency in SQL and Python working with large-scale distributed data tools (e.g., Spark, Presto).

Responsibilities

• Set Scientific Vision: Define the 1–2 year scientific strategy and technical roadmap for real-time rider pricing, identifying high-impact opportunities.
• Lead the Architecture and Design: Define the scientific frameworks and next-generation pricing algorithms that ensure our models are modular, extensible, and observable at global scale.
• Act as a Technical Multiplier: Elevate team-wide technical execution by identifying opportunities for system efficiency, model performance, and reduction of technical debt across software and science pipelines.
• Influence Senior Leadership: Partner directly with Product, Engineering, and Business Executives, translating complex data and technical findings into clear strategic recommendations.
• Own Technical Trajectory: Direct the evolution of critical pricing systems, balancing short-term needs with long-term scalability and efficiency.
• Establish Scientific Guardrails: Set experimentation standards and statistical frameworks across multiple teams, driving organization-wide adoption of best practices in causal inference and marketplace testing.

Skills

Statistical inference

Experimental design

Economic modeling

Cross-functional leadership

Education

Ph.D. in Economics or related quantitative field

Tools

Spark

Presto

Job description

Uber is seeking a Staff Scientist in Seattle to lead the scientific strategy for real-time rider pricing within the Rider Pricing and Incentive team. You will develop data-driven insights and pricing models, influence executive roadmaps, and deliver productionized results with cross-functional partners in Product and Engineering.

The role focuses on building scalable pricing algorithms, measurable impact, and setting guardrails for experimentation and causal inference across the organization.