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Uber Eats hiring Manager II, Science - Marketplace/Membership, San Francisco, California

Manager II, Science - Marketplace/Membership

Uber Eats

San Francisco, California
Posted 2 weeks ago

Qualifications

Education

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

Responsibilities

Primary Duties

  • 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.

Experience Requirements

Required

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

7 years of experience

Benefits & Perks

Benefits Package

  • participate in Uber's bonus program
  • may be offered an equity award
  • eligible to participate in a 401(k) plan
  • various benefits

Required Skills

Technical Skills

Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)Experience designing experiments and interpreting the results

Soft Skills

Excellent communication and collaboration skills

Full Job Description

Manager II, Science - Marketplace/Membership

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.

Teams
We're 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.
  • 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.

Qualifications
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 New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 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.

How to Apply

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