Uber Scientist II - Investment 

United States, West Virginia 

922522567

What You Will Do

Your day-to-day responsibilities will be centered around marketplace inference. You will:

• Produce measurements on incentive impacts that is consumed by teams across Marketplace and Ops.
• Design and analyze experiments to improve investment strategies.
• Develop proactive insights that inform incentive strategy.

- - - - Basic Qualifications ----

• Undergraduate and/or graduate degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
• Minimum 2 years of industry experience as a Data Scientist or equivalent.
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Knowledge of experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis, and testing.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in languages and tools like SQL.

- - - - Preferred Qualifications ----

• 4+ years of industry experience in a similar role
• Advanced experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference
• Experience in algorithm development and prototyping
• Experience with causal ML methods is a plus
• Experience in pricing and incentives
• Excellent judgment, critical thinking, and decision-making skills.
• Ability to translate data science findings into business strategy
• Strong communication skills.
• Self-motivated with the ability to work independently.

For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.