Scientist II, Marketplace (Multiple Teams)

About The Role End-to-end product development from 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* We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas including: 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. What You'll Do Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, 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. Basic Qualifications Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields. 2+ years of industry experience as an Applied or Data Scientist or equivalent (not required 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. Preferred Qualifications 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. #J-18808-Ljbffr SupportFinity™