Think Beyond The Label Jobs

Mobile Think Beyond The Label Logo

Job Information

Uber Staff/Senior Staff Data Scientist - Rider Insights in San Francisco, California

About the Role

Your scope will cover the entire rider experience, ranging from the core rider experience to newer verticals like rentals, Uber reserve, and business users! You will be leading the data science effort to develop insights that improve our product, and design measurement frameworks, metrics, and processes to track our success.

What You'll Do

  • Develop data-driven insights to identify opportunities to improve the product or build new products

  • Propose, design, and analyze large scale online experiments

  • Work collaboratively with cross-functional partners identify opportunities for largest business impact

  • Present findings to business and executive audiences

Basic Qualifications

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

  • Minimum 5 years of industry experience as a Data Scientist or equivalent.

  • Experience in experimental design and analysis, exploratory data analysis and statistical analysis.

  • Ability to use Python/R to work efficiently at scale with large data sets.

  • Proficiency in SQL.

Preferred Qualifications

  • Very strong communication skills across technical, non-technical, and executive audiences.

  • Experience working in marketplaces

  • Experience in B2C and B2B businesses

For San Francisco, CA-based roles: The base salary range for this role is USD$230,000 per year - USD$255,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/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

DirectEmployers