Machine learning techniques, NumPy, Pandas, PySpark, Python Programming, R Programming, SQL
About the Role
The Capacity & Efficiency Engineering (CEE) organization is looking for a Staff Data Scientist to join us in Amsterdam. In this role, you will design and build forecasting models to better understand all growth drivers that require Uber’s infrastructure to scale to meet product and business needs. Furthermore, you will contribute towards building a broad understanding of Uber’s consumption of resources across its entire tech stack, identify cost-saving opportunities and develop simulation models to help Uber save significant resources in terms of money, time and effort.
An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, and leadership to help drive down the cost of Uber’s infrastructure. A successful candidate will need to demonstrate strong technical skills, including coding, advanced statistics, experimentation, causal inference techniques, and machine learning, while also being able to present results to a senior leadership audience!
What You Will Do
Basic Qualifications
Preferred Qualifications
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
Uber, is an American mobility as a service provider based in San Francisco, with operations in over 900 metropolitan areas worldwide. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, electric bicycle and motorized scooter rental via a partnership with Lime, and ferry transport in partnership with local operators. Uber does not own any vehicles.
San Francisco, CA, USA
8-10 year
Sunnyvale, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
New York, NY, USA; San Francisco, CA, USA
4-6 year