Uber Staff Scientist Delivery Logistics 

United States, West Virginia 

191382857

What You Will Do

1. Use data to understand product performance and to identify improvement opportunities and define product/team roadmaps.
2. Design and execute product experiments and non-experimental measurement strategies and interpret the results to draw detailed and actionable conclusions.
3. Collaborate with Engineering and Product leads to drive end-to-end algorithm development.
4. Present findings to senior leadership to inform business decisions.

- - - - Basic Qualifications ----

1. Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
2. Minimum 6 years of industry experience as a Scientist or equivalent (4+ years if holding a Ph.D. degree).
3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, experimental design, and analytics.
4. Experienced in partnering with cross-functional stakeholders to execute decisions.
5. Ability to use Python to work efficiently at scale with large data sets.
6. Proficiency in SQL.

- - - - Preferred Qualifications ----

1. Ph.D. or equivalent in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
2. 8+ years of industry experience as a Scientist or equivalent (6+ years if holding a Ph.D. degree).
3. Demonstrated expertise in the marketplace domain.

For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.