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Uber Senior Scientist Delivery Pricing 
United States, West Virginia 
127369006

Yesterday

What You Will Do

  1. Develop algorithms for optimizing prices at scale.
  2. Design pricing experiments and use data for model training and pricing decisions.
  3. Use data to understand product performance and to identify improvement opportunities.
  4. Monitor and evaluate the performance of pricing strategies and make adjustments as needed to ensure optimal outcomes.
  5. Present findings to senior management to advise on business decisions.
  6. Collaborate with multi-functional teams across fields such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productization.

- - - - Basic Qualifications ----

  1. Ph.D. or M.S. degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, or other quantitative fields.
  2. 2+ years of industry experience as a scientist or equivalent.
  3. Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
  4. Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.
  5. Self-motivated with the ability to work independently and a strong passion to learn and grow

- - - - Preferred Qualifications ----

  1. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  2. Experience leading key technical projects and substantially influencing the scope and output of others.
  3. Solid Programming skills to prototype models in at least one of Python (preferably), R
  4. Expert in one of the following areas: A/B experimentation design, causal inference, machine learning, economics, or optimization
  5. Experience of working with large dataset using Spark, Hive, HDFS is desired
  6. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
  7. Experience working in a marketplace-related problem space, esp. pricing optimization
  8. Experience designing large-scale price experiments and using the data for pricing decisions.
  9. Experience designing model architectures for pricing algorithms.

For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .