Uber Scientist II Ads & Offers 

United States, West Virginia 

17023706

What You'll Do

• Build statistical, optimization, and machine learning models for a range of applications in the Ads Delivery space (e.g. auction, bidding, pacing, ranking).
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
• Use data to understand product performance and to identify improvement opportunities.
• Present findings to leadership to inform business decisions.
• Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

• Ph.D., M.S., or Bachelors degree in Economics, Operations Research, Statistics or other quantitative fields. (If M.S. or Bachelors degree, a minimum of 1+ years of industry experience as a Data Scientist or equivalent required)
• Strong Python or R foundation and expertise.
• Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics.
• Knowledge of experimental design and analysis.
• Analytical rigor in approaching product problems.

Preferred Qualifications

• 2-4 years of industry experience as an Applied or Data Scientist or equivalent.
• Experience building Ads Delivery systems.
• Strong in product sense.
• Can use data and insights to driven decisions, help team shape the product vision and roadmap.
• Have the potential to frame ambitious, open product, can simplify complicated problems.

For Canada-based roles: The base salary range for this role is CAD$136,000 per year - CAD$151,000 per year.

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.