Employment Information
About the Role
Applied Scientists at Uber use data to improve and automate all aspects of Uber’s core rideshare and delivery products. You will be joining the Mobility Matching team and building rider-driver matching optimization and machine learning models.
We are looking for candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, and/or operations research to improve the Uber user experience as well as the overall marketplace performance.
What the Candidate Will Need / Bonus Points
What the Candidate Will Do
- Build statistical, optimization, and machine learning models for a range of applications in the matching space.
- Design and implement product experiments and interpret the results to draw detailed and actionable conclusions.
- Use data to understand product performance and to identify improvement opportunities.
- Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.
Basic Qualifications
- PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
- 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 SQL.
Preferred Qualifications
- 2+ years of industry experience.
- Experience in algorithm development and prototyping.
- Experience in optimization
- Experience with writing production algorithms for real-time systems
- Well-honed communication and presentation skills.
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.
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.
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