Uber Senior Scientist Delivery Courier Pricing 

United States, West Virginia 

559559289

What You'll Do

• Own the end-to-end lifecycle of scientific models and algorithms, from ideation and development to deployment and iteration, tackling our most complex pricing challenges.
• Act as a thought leader , influencing the product and technical roadmap by identifying new opportunities and translating them into actionable scientific projects.
• Lead the design and analysis of large-scale experiments, pushing the boundaries of causal inference to measure the impact of our pricing strategies and deliver actionable insights.
• Drive collaboration with senior stakeholders across Product, Engineering, and Operations, effectively communicating complex findings and presenting strategic recommendations to leadership.
• Mentor and guide junior scientists on the team, elevating the overall technical bar and fostering a culture of scientific rigor.

What You'll Need (Basic Qualifications)

• A Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Operations Research) with 2+ years of industry experience, OR a Master's/Bachelor's degree in a similar field with 5+ years of relevant industry experience.
• Deep, hands-on expertise and a proven track record of applying advanced methods from machine learning, statistics, optimization, and causal inference to solve complex, real-world business problems.
• Proven experience leading complex, cross-functional projects, with a track record of influencing the technical direction and output of the team.
• Proficiency in modeling, data analysis, and programming using a language like Python or R.
• Experience querying databases using SQL.
• Excellent communication and presentation skills, with the ability to influence both technical and non-technical audiences.

Preferred Qualifications

• Expert-level knowledge in one or more of the following areas: experimental design, causal inference, machine learning, economics, or optimization, with a track record of designing and implementing model architectures and algorithms.
• Direct experience in a marketplace-related problem space, especially pricing optimization.
• Proven ability to design and analyze large-scale experiments to inform critical pricing and product decisions.
• Experience working with large datasets using distributed computing systems like Spark, Hive, or Presto.