Senior Marketplace Scientist - ML, Optimization & Growth

Uber; San Francisco (CA); On-site; USD 190,000 - 211,000; Full time

Benefits offered by this job

401(k) plan

Equity award

Bonus program

Job summary

Uber is seeking an experienced Data Scientist to drive end-to-end product development from data, analytics, modeling, to experimentation. You will prototype ML and optimization models, design experiments, and translate data insights into prioritised product and growth initiatives.

The role emphasizes causal inference, marketplace dynamics, and creating robust metrics and tooling to enable data-driven decisions across Uber Eats, Grocery, and new verticals.

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.).
• Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
• Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
• Coding and SQL proficiency and 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

Responsibilities

• Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
• 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.
• Design and analyze experiments, and present results that provide actionable recommendations.
• Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization, and diagnostic tools, and experimentation paradigms.
• Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
• Own the product development cycle end to end from data and science aspects.

Skills

Statistical reasoning

Experiment design

Data-driven decision making

Education

Ph.D., M.S., or Bachelor's in quantitative field

Tools

Python

SQL

R

Java/Scala

Job description

Uber is seeking an experienced Data Scientist to drive end-to-end product development from data, analytics, modeling, to experimentation. You will prototype ML and optimization models, design experiments, and translate data insights into prioritised product and growth initiatives.

The role emphasizes causal inference, marketplace dynamics, and creating robust metrics and tooling to enable data-driven decisions across Uber Eats, Grocery, and new verticals.