About the Role
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have an interest in developing and applying quantitative solutions uniquely challenging problems on Uber Eats? If so, then this is the job for you.
What you'll need
We are looking for people with advanced quantitative degrees who are comfortable enough with research methodologies that they can address abstract business and product problems with extreme precision, and who have the enthusiasm and initiative necessary to deliver those answers at Uber's fast pace. You should also have demonstrable programming skills and be comfortable with the engineering development process.
About the Team
Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand food delivery businesses, which currently operates in more than 45 countries globally and is the largest outside of China. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. Below is a list of sub domains within the team:
Eater SF From new user acquisition, to existing user engagement, to churned user resurrection, the eater team builds intelligent data-driven products to provide the best user experience. The Eater team is responsible for shaping the business with our expertise in machine learning (including learning to rank, deep learning and NLP), optimization, causal inference, statistics, and a passion for connecting everyone with their favorite food. The challenges the Eater team tackles include: personalized restaurant and dish recommendation, search relevance and food knowledge platform, new user acquisition spend optimization, messaging and push notification relevance, search engine optimization (SEO) and search engine marketing (SEM),, appeasement and refund optimization, user conversion and churn modeling.
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.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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 or Veteran status.