Senior Applied Scientist, Uber Shuttle

About the Team

Uber Shuttle is hiring for an applied scientist to work on next generation passenger transportation challenges all over the world. We use optimization, machine learning, and statistical modeling to understand transportation demand patterns and build out scheduled services to achieve high utilization and customer satisfaction.

The ideal candidate will have experience with and passion for large, open-ended transportation and operations challenges with complex customer experience dimensions. The Shuttle product is an early stage investment with strong leadership support, experienced science, operations and engineering teams, and a clear path to $1B+ in revenue.

About the Role

• The day to day work of the Shuttle applied science team includes solving optimization problems related to transportation networks, driver scheduling, and vehicle utilization. We develop models to improve vehicle travel time prediction, detect anomalies and errors in geospatial data, and optimize pricing and driver payment. Other key tasks include modeling and analysis to build a nuanced understanding of customer experience and travel decision making, and incorporating those and other insights into various aspects of network design and customer experience improvement.
• We work extensively with teams in the USA, Mexico, India, and Egypt. Because of this, out-of-working-hours video calls are sometimes required (max 2-3 hours/week).

Basic Qualifications

• PhD-level expertise in one of the following: Transportation Science, Operations Research, Economics/Econometrics, Industrial Engineering, or similar field
• Experience with statistical modeling and experimentation, optimization, and machine learning in a professional environment
• Experience writing high-quality end-to-end data and analytical pipelines using Python, Go, or Java
• Experience with SQL, Hive, and data modeling fundamentals

Preferred Qualifications

• Experience with stochastic process and/or time series modeling
• Experience utilizing machine learning techniques for customer segmentation and recommendation system applications
• Deep understanding of operations and/or transportation science
• Strong product intuition

For Seattle, WA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 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.