Manager II, Science – Marketplace/Membership

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  • Finance
  • FullTime
  • Applications have closed

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.

About the Team**(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.
  • 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.

What You’ll Do

  • Lead a team of Scientists, including growing and mentoring your team members.
  • Partner closely with cross-functional stakeholders and other Science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions.
  • Communicate complex findings and recommendations to senior leadership.
  • Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML.
  • Own the product development cycle end to end from data and science aspects.
  • Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

Basic Qualifications

  • Ph.D., M.S. or Bachelor’s degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
  • 7 years of industry experience as an Applied or Data Scientist or equivalent (or 4 years with Ph.D.).
  • 1 years managing a team of scientists.
  • Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
  • Experience designing experiments and interpreting 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.
  • 2 years managing a team of scientists.
  • Experience in leading key technical projects and substantially influencing the scope and output of others.
  • Thought leadership to drive cross-functional projects from concept to production.
  • Experience in large-scale marketplace algorithm design or experimentation platform.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year – USD$240,000 per year. You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. 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 https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year – USD$240,000 per year. You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. 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 https://jobs.uber.com/en/benefits.