Data + Analytics//Data Science//Management//

Manager, Applied Science - Core Analytics and Science at Uber (San Francisco, CA)

Uber

| San Francisco, CA

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About the Role
Mobility and Marketplace Data and Applied Sciences at Uber uses data to improve and automate all aspects of Uber's ridesharing and delivery products. Some examples include:

Rider - own the experience and algorithms powering the Rider app. Optimize incentives, personalize the rider experience and optimize routing and matching at airports, scheduled rides and high capacity vehicles.
Earner - design the experience and the algorithms that power them for Rides Drivers, Eats Couriers, and all Earners in between.
Marketplace - build matching and pricing algorithms to ensure that we deliver a reliable, affordable experience for riders and create earnings opportunities for earners.
Ads - responsible for building the algorithms and statistical methodologies which power Uber's internal Ads and Offers platform.

What You'll Do

Manage a team of Applied Scientists, while also contributing hands-on to projects.
Build statistical, optimization, and machine learning models for applications including pricing, matching, routing, automated recommendations, growth strategies, and user behavior modeling.
Design product experiments and interpret the results to draw detailed and impactful conclusions.
Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

Bachelor degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics and minimum 4 years experience in the Applied Science or similar field.
Familiarity with Python, R or Java to work efficiently at scale with large data sets (including exploratory data analysis, statistical analysis, and machine learning model development) in a production environment.
Ability to drive clarity on the best modeling or analytic solution for a business objective.
Advanced knowledge of experiment design and statistical methods.
Minimum 1 year management experience in a technical role.

Preferred Qualifications

MS in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative field with 2+ years of industry experience.
Ph.D in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative fields.
Experience working in a technical role in a marketplace environment
Strong communication skills, for example demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.

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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

Paige Sammarco

Account Executive, Uber Eats

What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

Azarias Reda

Head of Uber's Experimentation API team

What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

Ali Faivus

Head of Mid-Market Sales

How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

Joe Chang

Director of Engineering, Uber Freight

How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.