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Uber Eats hiring Sr. Marketing Applied Scientist, New York, New York

Sr. Marketing Applied Scientist

Uber Eats

New York, New York
Posted 1 weeks ago

Qualifications

Education

Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.

Responsibilities

Primary Duties

  • Develop and lead careful statistical and econometric analyses in support of our business priorities.
  • Collaborate with cross-functional teams to develop strategic insights and research.
  • Present economic reasoning and analytical results to cross-functional audiences.

Experience Requirements

Required

If Ph.D a minimum of 1+ years of industry experience required, M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 4+ years of industry experience as a Data Scientist or equivalent.

Required Skills

Technical Skills

Strong SQLPythonRKnowledge of experimental design and analysisadvanced analyticseconometricscausal inference

Soft Skills

Ability to collaborate cross-functionallyClear and concise communicationProject management skills

Full Job Description

Sr. Marketing Applied Scientist
We are looking for an economic-minded senior applied scientist to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. In this role, you would be part of the Marketing Science team which is led by the Chief Economist. The scope of this role is global and spans Uber's Rides and Eats business.
What You'll Do
  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.
  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.
  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team.
Basic Qualifications
  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If Ph.D a minimum of 1+ years of industry experience required, M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 4+ years of industry experience as a Data Scientist or equivalent).
  • Strong SQL, Python and/or R foundation and expertise.
  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).
Preferred Qualifications
  • Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.
  • A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.
  • Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.
  • Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company.
  • Passion for Uber!

How to Apply

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