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 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 https://jobs.uber.com/en/benefits., 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 https://jobs.uber.com/en/benefits.