Uber
Scientist II, Rider Pricing & Incentives
Uber, San Francisco, California, United States, 94199
About The Role
Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Rider Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data that help design the models that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of economics, machine learning, and/or operations research to improve the Uber rider experience as well as the overall marketplace performance.
What The Candidate Will Need / Bonus Points What the Candidate Will Do
Use data to understand product performance and to identify improvement opportunities.
Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space.
Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
Present findings to senior management to inform business decisions.
Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2+ years of experience as an Applied or Data Scientist or equivalent (can be also as part of Ph.D training).
Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience in 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
2+ years of industry experience.
Experience in algorithm development and prototyping.
Experience in pricing optimization.
Experience with productionizing algorithms for real-time systems.
Well-honed communication and presentation skills.
Salary and benefits:
For New York, NY; San Francisco, CA; Seattle, WA; and Sunnyvale, CA: base salary range USD 155,000 per year – USD 172,000 per year.
All US locations: eligible to participate in Uber's bonus program and may be offered an equity award and other compensation types. Eligible for various benefits.
More details can be found at Uber Careers benefits (without a direct link here).
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We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of economics, machine learning, and/or operations research to improve the Uber rider experience as well as the overall marketplace performance.
What The Candidate Will Need / Bonus Points What the Candidate Will Do
Use data to understand product performance and to identify improvement opportunities.
Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space.
Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
Present findings to senior management to inform business decisions.
Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2+ years of experience as an Applied or Data Scientist or equivalent (can be also as part of Ph.D training).
Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience in 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
2+ years of industry experience.
Experience in algorithm development and prototyping.
Experience in pricing optimization.
Experience with productionizing algorithms for real-time systems.
Well-honed communication and presentation skills.
Salary and benefits:
For New York, NY; San Francisco, CA; Seattle, WA; and Sunnyvale, CA: base salary range USD 155,000 per year – USD 172,000 per year.
All US locations: eligible to participate in Uber's bonus program and may be offered an equity award and other compensation types. Eligible for various benefits.
More details can be found at Uber Careers benefits (without a direct link here).
#J-18808-Ljbffr