Senior Data Scientist

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 to uniquely challenging problems on Uber Eats? If so, this is the job for you. What You’ll Do 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. * Must have 6+ years industry experience outside of academic or internship setting. Prior research, data science modeling, or engineering experience in the aforementioned domains * Superb quantitative background (e.g. statistics, math, machine learning, operations research, economics, EECS, etc * Familiarity with technical tools for analysis – Python (with Pandas, etc.), R, SQL, etc.; previous software engineering background a plus * Research mindset with bias towards action – able to structure a project from idea to experimentation to prototype to implementation * Passionate and attentive self-starters, great communicators, amazing follow-through – you have a great work ethic and love the responsibility of being held accountable for the results What You’ll Need 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: In Hyderabad, there are two Product teams supporting Restaurants. 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 and empower them with tools to increase demand and maintain a frictionless interaction with the platform. 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.