Senior Scientist, Mobility Matching

6 days ago

New York, New York, United States Uber Technologies, Inc. Full time

Senior Scientist, Mobility Matching
Data Scientist, Data Science
New York, New York | Seattle, Washington | San Francisco, California | Sunnyvale, California

About the Role

Have you ever wondered why it's taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber's scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You Will Do

Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Design and analyze experiments, communicating results that draw detailed and actionable conclusions
Analyze and contribute to development of optimization algos and ML models for use in mobility matching
Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.

Ability to use Python, SQL, R Spark, or similar technologies to work efficiently with large data sets

Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Preferred Qualifications
4+ years of industry experience as an Applied or Data Scientist or equivalent.

Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.

Experience leading key technical projects and substantially influencing the scope and output of others.

Experience communicating qualitative research methods and findings to non-qualitative researchers.

Solid theoretical and applied ML skills and a strong background in mathematics and stat

Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques

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