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Uber Regional Data Scientist II - Mobility LatAm 
United States, West Virginia 
587312022

11.06.2025

About the Role

Data science needs to inform much of this work. From models to experiments, operations benefit from scientific precision and technical rigor.

What you'll do:

  1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  2. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  3. Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  4. Leverage data to understand product and/or business performance and to identify improvement opportunities
  5. Design experiments and interpret the results to draw detailed and impactful conclusions
  6. Communicate with senior management and multi-functional teams
  7. Provide recommendations to assist quick product ideation and feature launch decisions.

What you'll need:

  1. 3+ years of industry experience working as a Data Scientist or Data Analyst
  2. Ph.D., M.S., or Bachelors degree in a quantitative field: Statistics, IT, Systems, Engeeniring
  3. Knowledge of the mathematical foundations of statistics, machine learning, optimization, economics, analytics, and experimental design: A/B Testing
  4. Experience with exploratory data analysis; statistical analysis and testing; and model development
  5. Ability to use a language like Python to work efficiently at scale with large data
  6. Proficiency in languages and tools like SQL, Hive, and Spark
  7. Fluency in English, and fluency in either Spanish or Portuguese
  8. Experience with productionizing algorithms for real-time systems
  9. Advanced experience in experimental design and analysis (e.g., A/B and market-level experiments) as well as causal inference
  10. Experience working in a fast-paced operations environment

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .