메인 컨텐츠로 건너뛰기
Uber

위치를 알려주세요

회원님의 지역에 관한 정확한 정보를 표시할 수 있도록 가장 가까운 도시 이름을 입력해 주세요.

언어를 선택하세요

2020 PhD Data Scientist Internship - Uber Eats (New York)

New York, NY의 Data Science, University

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 600 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.

About the Role

 

Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in applying quantitative solutions to the uniquely challenging problems related to Uber’s on-demand delivery marketplace? If so, then this is the opportunity for you.

What You’ll Do

  • Develop models for user behavior and marketplace dynamics
  • Design optimization algorithms to improve marketplace efficiency
  • Apply machine learning for recommendation, prediction, and forecasting
  • Conduct experiments to inform product decisions

What You’ll Need

  • Strong quantitative background
  • Research, data science modeling, or engineering experience
  • Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.
  • Research mindset with bias towards action - able to structure a project from idea to experimentation to prototype to implementation
  • Independence, great communication, and amazing follow-through - you aggressively tackle your work and love the responsibility of being individually empowered

Bonus Points For

  • Background in Machine Learning, Statistics, Operations Research, Operations Management, Econometrics, or similar
  • Experience in software engineering

About the Team

 

Uber Everything Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand delivery businesses, such as Uber Eats. These fascinating and challenging problems include: demand prediction, menu ranking and recommendation, delivery time estimation, batching, scheduling, routing, dynamic pricing, supply positioning, and much more.

 

Below is a list of sub domains in our NYC location:

  • Restaurant (NYC) | The restaurant team aims to increase restaurant selection on Uber Eats while setting up restaurant partners for success. We leverage statistics and machine learning techniques to optimize the experience of restaurants at different life cycles. From onboarding, to menu creation, marketing, and order experience, we empower them with tools to increase demand and maintain a frictionless interaction with the platform.
  • Marketplace - Logistics and Marketplace Intelligence (NYC) | From dispatch and routing optimization to predicting food delivery time, the Logistics and & MI team provides DS solutions to create the best customer experience on all sides of the Eats marketplace in the most efficient way. The team also provides marketplace management solutions using state of the art machine learning techniques and our dispatch simulator.

지원자 개인정보 취급방침 확인

Uber에서는 단순히 다양성을 인정하는 데 그치지 않고, 이를 격려하고 후원하면서 자사의 직원과 제품 그리고 커뮤니티의 이익을 위해 다양성을 최대한 활용하고 있습니다. Uber는 평등한 기회를 부여하는 직장이라는 자부심을 갖고 있는 소수 인종 우대 고용 기업입니다. Uber는 인종, 피부색, 가계, 종교, 성별, 출신 국가, 성적 취향, 나이, 시민권 소지 여부, 결혼 여부, 장애 여부, 성 정체성 또는 경력 여부에 관계없이 평등한 고용 기회를 부여하기 위해 노력합니다.