2019 PhD Data Scientist Internship - UberEverything
Data Science, University em San Francisco, CA
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.
Na Uber, não só aceitamos as diferenças como também elas são celebradas, apoiadas e aproveitadas para benefício de nossos funcionários, produtos e comunidade. A Uber tem orgulho de ser um local de trabalho com oportunidades iguais e um empregador de ação afirmativa. Estamos comprometidos com oportunidades iguais de emprego, independentemente da raça, cor, ascendência, religião, sexo, nacionalidade, orientação sexual, idade, cidadania, estado civil, deficiência, identidade de gênero ou status de veterano.