Overview
On Site
USD 174,000.00 - 193,500.00 per year
Full Time
Skills
Machine Learning (ML)
Statistical models
Customer satisfaction
Customer experience
Decision-making
Network design
Operations research
Industrial engineering
Data modeling
Time series
Recruiting
Transportation
Optimization
Operations
Dimensional modeling
Leadership
Science
Scheduling
Geospatial analysis
Data
Pricing
Modeling
Video
Economics
Econometrics
Writing
Analytical skill
Python
Java
SQL
Apache Hive
Law
Legal
Collaboration
Job Details
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
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 .
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 .
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.
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).
- 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
- 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
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 .
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 .
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.