Senior Scientist, Marketplace; Teams

About the Role

End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.

(We are hiring for multiple teams)

• Delivery Marketplace : A central pillar of Uber's delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B - from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We're responsible for running an efficient marketplace with dispatch & pricing decisions.

• Maps :
  Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.

• Uber One Membership :
  Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.

• Experimentation Platform :
  Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.

• Autonomous Mobility & Delivery (AM&D) :
  Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.

• Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.

• Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.

• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.

• Design and analyze experiments, present results that provide actionable recommendations.

• Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.

• Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.

• Owning the product development cycle end-to-end from data and science aspects.

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

• 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).

• Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).

• Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.

• 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.

• Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.

• Excellent communication and collaboration skills:
  Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.

• Experience in leading key technical projects and substantially influencing the scope and output of others.

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

• Experience in large-scale marketplace algorithm design, membership/consumer growth, or experimentation platform.

• Experience with exploratory data analysis, statistical analysis and model development.

• Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala.

For New York, NY-based roles:
The base salary range for this role is USD $190,000 per year - USD $211,000 per year. For San Francisco, CA-based roles:
The base salary range for this role is USD $190,000 per year - USD $211,000 per year. For Sunnyvale, CA-based roles:
The base salary range for this role is USD $190,000 per year - USD $211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

More details can be found at the following link

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…