Head of Data Science - Uber Maps at Uber

| San Francisco
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About the Role

We are looking for a customer-centric senior manager to lead science and analytics for Maps! Maps develops the backbone of geospatial technologies that underlie Uber's systems--travel time and distance prediction, traffic prediction, route recommendation, navigation, pickup & dropoff location setting and experience optimization, and other geospatial technologies. Its work is critical for Uber's Rides and Eats businesses through: 1) improving the core trip experience such as ETAs, routes, and pickup & dropoff; 2) powering the core internal decision making systems such as pricing and matching.

Your team is responsible for developing statistical, ML, and optimization models for these systems; it consists of statisticians, ML and OR scientists, and data analysts, led by several frontline managers. The team is also responsible for all the relevant product analytics such as data, metrics, and experimentation and measurement frameworks.

What You'll Do

  • Lead a team of 3-5 managers as well as senior individual contributors.
  • Work closely with leads from engineering and product, and upstream and downstream teams, to define and execute the direction of the product development.
  • Create the technical vision for the team on both data analytic foundations and advanced models.
  • Communicate to executive stakeholders and other company leaders.
  • Build a strong science & analytics team by hiring and mentoring. Provide technical and professional guidance, mentorship, and people management.
  • Improve the understanding of data-driven product development across Uber.
  • Provide technical and leadership feedback and guidance to the broader science community in the company.

Basic Qualifications

  • M.S. degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative discipline.
  • Experience in people management.
  • Knowledge of underlying mathematical foundations of statistics, experimentation, machine learning, and analytics. Hands on experience in developing and prototyping statistical and machine learning models.
  • Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.

Preferred Qualifications

  • Ph.D. degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • 6+ years of experience in data science related fields. 4+ years of experience in people management. Experience in managing a large team of data scientists (12+) and managers (3+).
  • Passionate about Uber's problem space, motivating, empathetic, truth seeking, and holding a high technical bar.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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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?

We encourage employees to “drive your growth” by learning through opportunities on the job. Formal training can’t often give you the scope to build, apply, and practice new skills in the way that learning by doing does. We believe that you can learn whatever you don’t know in an environment that fosters mentorship and feedback.

Becky Karsh

Head of People Development

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.

Silvia Penna

Sr Manager, Central Operations

What are Uber Perks + Benefits

Uber Benefits Overview

Doing your best work means being your best self. To help, we offer a wide range of benefits and perks, some that only Uber can, to support your health and wellbeing.

Culture
Volunteer in local community
Our people, process, and technology can help transform cities into safer, more efficient, and more beautiful places. Learn more: https://www.uber.com/community/supporting-cities/
Partners with Nonprofits
Technology, when it's done right—and combined with good partnerships—has the potential to contribute to a better world for all. Learn more: https://www.uber.com/us/en/community/
Eat lunch together
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Diversity manifesto
Someone's primary function is managing the company’s diversity and inclusion initiatives
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Health Insurance Benefits
Wellness Programs
Retirement & Stock Options Benefits
401(K)
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Sabbatical
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Professional Development Benefits
Diversity Program
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