Senior Scientist, Rider Experience

Uber • San Francisco, CA • 2h ago

About the Role

Scientists at Uber use data to measure, analyze, and optimize all of Uber's products. On the Rider Experience Science team, you'll have the opportunity to work on the core mobility business and influence the experience for millions of riders. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personalized features.

The Science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include optimizing the rider conversion funnel, developing AI systems to understand metric trends, and running large scale experiments to improve the UX. In this role, you'll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber's business.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.

Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions.

Define how our teams measure success by developing metrics in close partnership with cross functional partners and creating AI systems to understand metric movements.

Develop and optimize pricing models for rider loyalty offerings including ride passes.

Collaborate with other Scientists and Engineers to build and improve data foundations.

Present findings to business and executive audiences.

Basic Qualifications

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

Mininum 3 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).

Experience in experimental design and analysis.

Experience with exploratory data analysis, statistical analysis and testing, and model development.

Proficiency in SQL and either Python or R.

Preferred Qualifications

Minimum 7 years of industry experience as a Data Scientist or equivalent.

Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.

Experience using statistical methodologies in a marketplace @context.

Experience guiding and mentoring other Data Scientists.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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.

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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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