Senior Data Scientist - Recommendation Systems - Uber Freight
As a Data Scientist on the Carrier team at Uber Freight, you will play an instrumental role in the definition and development of our ambitious products - from Load Search, Ranking and Recommendation to Tracking/GPS and Automated Support. You are deeply technical, strategically minded, and can quickly toggle your mind between first-order problem-solving and modeling techniques. You are a great team player and enjoy working with a group of devoted cross-functional partners to "make things happen".
- Solid knowledge in statistics
- In-depth knowledge of classical Machine Learning
- Familiarity of common Deep Learning Models
- Hands on experience building data pipelines
- Python coding
- Advanced data engineering, e.g. PySpark
- Experience with recommendation engines
- Experience with language and telematics data
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.
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.
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.
Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.
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