Staff Scientist, Shared Rides
Uber
**About the Role**
As part of Uber's mission to reimagine the way the world moves for the better, sharing plays a crucial role. The Shared Rides team directly contributes to Uber's growth by unlocking rides for economy riders, leveraging our matching technology to dynamically allow riders to share the cost of their trips.
As a Scientist on the Shared Rides team, you'll work on analyzing and designing algorithms behind matching multiple riders by making the right trade offs between affordability and experience, as well as finding new opportunities for expanding our shared product offerings to benefit riders, drivers and cities across the world.
**What You Will Do**
- Work with a cross-functional team to build cutting-edge marketplace products.
- Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities.
- Work alongside engineers to design and implement production solutions.
- Design and analyze product experiments, and communicate findings and conclusions with stakeholders.
- Lead a team of 4-5 scientists in designing new algorithms in order to optimize our real-time matching system.
\-\-\-\- 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 ----
- 6+ years of industry experience.
- Minimum 3 years of management or tech lead experience.
- Experience in algorithm development and prototyping.
- Experience designing reinforcement learning or other advanced ML algorithms.
- Experience performing causal inference and other advanced econometric and statistical techniques.
- Experience productionizing algorithms for real-time systems.
- Well-honed communication and presentation skills.
For New York, NY-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 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](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://forms.gle/aDWTk9k6xtMU25Y5A).
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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