Pricing Science Manager - Marketplace Analytics & ML

Uber; United States; On-site; USD 216,000 - 240,000; Full time

Benefits offered by this job

Bonus program

Equity awards

401(k) plan

Comprehensive benefits

Job summary

Uber is seeking a Senior Data Scientist to join the Uber Eats Pricing and Incentives team, focusing on end-to-end product development from data, analytics, modeling, and experimentation for a dynamic three-sided marketplace.

You will mentor a team of scientists, partner with stakeholders to identify needs, and communicate findings to senior leadership while owning the product development cycle from data and modeling to measurement and impact.

Qualifications

• PhD/MS/Bachelor in quantitative fields (Economics/Statistics/ML/OR)
• 7+ years industry experience as Applied/Data Scientist (or 4+ years with PhD)
• 1+ year managing a team of scientists
• Excellent communication and collaboration skills across product areas and leadership
• Background in at least one programming language (Python, R, Scala/Spark)
• Experience designing experiments and interpreting results across KPIs

Responsibilities

• Lead a team of Scientists, including mentoring team members
• Partner with stakeholders to translate business needs into technical roadmaps
• Communicate complex findings to senior leadership
• Solve ambiguous business problems using data-driven approaches (Causal Inference, Optimization, ML)
• Own the product development cycle end-to-end from data and modeling aspects
• Define success metrics in partnership with cross-functional teams

Skills

Team leadership

Communication

Programming (Python/R/Scala/Spark)

Experiment design

Education

PhD/MS/Bachelor in Economics/Statistics/ML/OR

Job description

Uber is seeking a Senior Data Scientist to join the Uber Eats Pricing and Incentives team, focusing on end-to-end product development from data, analytics, modeling, and experimentation for a dynamic three-sided marketplace.

You will mentor a team of scientists, partner with stakeholders to identify needs, and communicate findings to senior leadership while owning the product development cycle from data and modeling to measurement and impact.