Uber Scientist II Shared Rides 

United States, West Virginia 

926078329

About the Role

As a Scientist on the Shared Rides team, you'll work on analyzing and designing algorithms behind matching multiple riders by making the right trade offs between affordability and experience, as well as finding new opportunities for expanding our shared product offerings to benefit riders, drivers and cities across the world.

What You Will Do

• Build statistical, optimization, and machine learning models for a range of applications in the delivery logistics sapce.
• Design and implement product experiments and interpret the results to draw detailed and actionable conclusions.
• Use data to understand product performance and to identify improvement opportunities.
• Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.

- - - - Basic Qualifications ----

• PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
• 2+ years of industry experience.
• 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, and model development.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in SQL.

- - - - Preferred Qualifications ----

• Experience in algorithm development and prototyping.
• Experience in optimization
• Experience with writing production algorithms for real-time systems
• Well-honed communication and presentation skills.

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

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .