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Uber
AI

Senior Data Scientist, Mobility New Verticals

Uber · San Francisco, CA, US · $190k - $211k

Actively hiring Posted 5 months ago

Role overview

  • Prototype and productionize new models and approaches to model customer behavior, with focus on long term impact of consumer actions and experiences by using Uber's planet scale data.
  • Derive clear and actionable insights from your models and analyses, and communicate them to your stakeholders and business leaders to shape business strategy.
  • Incorporate models in the broader framework of algorithmic decision making at Uber, influencing millions of outcomes and impacting the lives of millions of Uber users everyday. 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

  • M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
  • Mininum 4 years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent (Mininum 2 years if holding a Ph.D.).
  • Strong foundations in causal inference, experimental design and econometrics.
  • Excellent analytical skills, with experience extracting user behavior insights from large datasets.
  • Knowledge of underlying mathematical foundations of statistics, optimization and economics.
  • Proficiency with Python for exploratory data analysis and modeling, and modern ML tools such as pytorch, tensorflow etc. Strong ability to communicate with technical and nontechnical audiences.

Preferred qualifications

  • Mininum 5 years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent.
  • PhD in quantitative fields such as Statistics, Economics, OR, Engineering, Physics, etc.
  • Proficiency in Python and the modern model development frameworks such as pytorch etc.
  • Experience in LTV (Life Time Value) modeling, causal inference from observational data and choice modeling.
  • Experienced in using AI to hypercharge productivity and delivering 10x impact. Exceptional communication skills across technical, non-technical, and executive audiences.

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