About The RoleIn this role, you will partner closely with product management, operations, engineering, and actuarial teams, to build data science and machine learning solutions to support safety and insurance initiatives! You will use data platforms such as Hive and Spark and will work on structured and unstructured data to build machine learning models that will play an influential role in helping drive critical product and policy decisions. What You'll Do

• Develop and lead statistical and machine learning efforts in relation to your projects. Our projects use machine learning, experimentation, signal processing, time series analysis, geospatial analysis, and more! We'll give you as many challenges as you can seek and help you grow to tackle more.
• Use large scale data processing such as Spark, Hive, and Uber's proprietary machine learning platform, and more.
• Collaborate with engineering to write and implement algorithms in production.
• Design and analyze experimental and observational studies; communicate findings; facilitate launch decisions.
• Work with a cross-functional team that includes product management, engineering, operations and others to complete projects.

Basic Qualifications

• Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent).
• 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 Python to work efficiently at scale with large data sets.
• Proficiency in languages and tools like SQL, R, and Spark.

Preferred Qualifications

• Experience in algorithm development and prototyping.
• Experience with productionizing algorithms for real-time systems.
• Well-honed communication and presentation skills: able to transform a complex quantitative analysis into a succinct executive-level report.

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.Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.For San Francisco, CA-based roles: The base salary range for this role is $149,000 per year - $165,500 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.