Data Science Manager - Safety and Insurance at Uber

| San Francisco
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The Safety and Insurance Data Science and Analytics team specializes in rare events. The team works closely with stakeholders across Product, Engineering, Operations, Marketing, and Legal to build new product features, implement machine learning algorithms, and optimize safety policies to help reduce safety incidents and make safer for riders, driver, eaters, restaurants, and all people who use Uber's platform.

About the Role

As a Data Science Manager in the Safety and Insurance team, you will be leading a hardworking team of data scientists and data analysts to support personal safety initiatives to make rare safety events even rarer. The role will partner closely with Safety and Insurance product management, operations, engineering, and regional teams to conduct deep analysis, design and monitor experiments, and develop machine learning models to make our platform as safe as possible for all users. You will play an influential role in helping drive critical product and policy decisions.

What You'll Do

  • Build and develop a robust analytics team that includes data scientists and data analysts
  • Develop and lead statistical and machine learning efforts including modeling, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more
  • Collaborate cross-functionally across technical and non-technical partners to identify and improve safety-related processes
  • Present findings to business leaders to inform decisions
  • Seek and tackle ambiguous, meaningful business problems using data-driven approaches
  • Manage partners including senior management and multi-functional teams
  • Anticipate the analytic needs of stakeholders and work with business partners to surface the appropriate information
  • Perform deep-dive analysis to discover root causes for safety issues and changes in trends

Basic Qualifications

  • Ph.D., MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field
  • 5+ years of industry experience working as a data scientist or similar
  • 2+ years of successfully leading and building robust data science and analytics teams
  • Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
  • Knowledge of experimental design and analysis
  • Experience with exploratory data analysis, statistical analysis and testing, and model development
  • Ability to use a language like Python or R to work efficiently at scale with large data sets
  • Proficiency in languages and tools like SQL, Hive, and Spark
  • Great interpersonal skills, self-starter, organized, able to multitask and be a phenomenal teammate
  • Strong attention to detail
  • Ability to understand and prioritize business goals and strategies

Preferred Qualifications

  • Advanced experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference
  • Experience in algorithm development and prototyping
  • Experience with causal ML methods is a plus
  • Technical leadership experience and passion for mentoring
  • Experience productionizing algorithms for real-time systems

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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