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Join to apply for the Staff Scientist, Delivery Logistics role at Uber
About The Role
The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace. As a Staff Scientist you will play a pivotal role on a high-visibility, high-impact team.
About The Role
The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace. As a Staff Scientist you will play a pivotal role on a high-visibility, high-impact team.
What You Will Do
- Use data to understand product performance and to identify improvement opportunities and define product/team roadmaps.
- Design and execute product experiments and non-experimental measurement strategies and interpret the results to draw detailed and actionable conclusions.
- Collaborate with Engineering and Product leads to drive end-to-end algorithm development.
- Present findings to senior leadership to inform business decisions.
- Basic Qualifications
- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
- Minimum 6 years of industry experience as a Scientist or equivalent (4+ years if holding a Ph.D. degree).
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, experimental design, and analytics.
- Experienced in partnering with cross-functional stakeholders to execute decisions.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
- Preferred Qualifications
- Ph.D. or equivalent in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
- 8+ years of industry experience as a Scientist or equivalent (6+ years if holding a Ph.D. degree).
- Demonstrated expertise in the marketplace domain.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Research, Analyst, and Information TechnologyIndustries
Internet Marketplace Platforms
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