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About the Role

We are hiring an Senior Scientist for the Courier Pricing team! Our team is developing algorithms to find the perfect price every time an agent makes a decision within our marketplace. We use elements of modeling, causal inference, forecasting, and optimization to design prices that dynamically align both customers and partners interests while maximizing on the value created by the marketplace.

What You Will Do

• Develop algorithms for optimizing prices at scale.

• Design pricing experiments and use data for model training and pricing decisions.

• Use data to understand product performance and to identify improvement opportunities.

• Present findings to senior management to advise on business decisions.

• 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

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

• Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.

• 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 communicating qualitative research methods and findings to non-qualitative researchers

• Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team

• Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala

• Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference

• Experience of working with large dataset using Spark, Hive, HDFS is desired

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

• Thought leadership to drive multi-functional projects from concept to production.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform