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Επιλέξτε γλώσσα

2019 University Graduate - Data Scientist - Research & Economics

Data Science, University σε San Francisco, CA

About Uber

 

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

 

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

 

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

 

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

 

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

What You’ll Do

  • Conduct rigorous, careful statistical and econometric analysis in support of our research priorities
  • Manage relationships with our outside research partners to ensure research collaborations run smoothly
  • Collaborate with in-country policy teams to develop research that speaks to their local contexts
  • Develop deep cross-functional relationships with product, legal, and operations to ensure alignment between policy research and business strategy
  • Present results to business stakeholders and the academic and policy communities

 

What You’ll Need

  • Masters or PhD degree with (anticipated graduation in 2019) in Economics, Statistics, Math, Engineering, Computer Science, or another quantitative field
  • Minimum 1 year of quantitative research or data science experience
  • Strong data skills and experience with tools such as SQL, Python, and R to work efficiently at scale
  • Ability to work independently and execute a research plan with minimal oversight
  • Ability to organize and synthesize analyses and communicate data insights with clarity

 

About the Team

The Research & Economics team conducts rigorous research that places our business and driver-partners in the context of the economies in which Uber operates.  Our mission is to help people both inside and outside Uber understand the unique nature of our independent work model and how it interacts with the wider world of work. For example: We know that the flexible work model is very valuable to Uber drivers (see Chen et al., Angrist et al.) and that dynamic pricing is vital in protecting the health and efficiency of the dispatch market (see Castillo et al., “Surge Pricing Solves the Wild Goose Chase”); however, it’s likely that consistency (e.g., of pricing or earnings) also carries some value for riders and drivers.  What values should we put on these opposing virtues?


Ανατρέξτε στη Δήλωση Απορρήτου Οδηγού

Στην Uber δεν δεχόμαστε απλώς τη διαφορετικότητα - τη γιορτάζουμε, την υποστηρίζουμε και την αναπτύσσουμε προς όφελος των υπαλλήλων μας, των προϊόντων μας και της κοινότητάς μας. Η Uber είναι περήφανη για το χώρο εργασίας της που παρέχει ίσες ευκαιρίες και για την πολιτική της υπέρ των μειονοτήτων. Δεσμευόμαστε ως προς τις ίσες ευκαιρίες εργασίας ανεξαρτήτως φυλής, χρώματος, καταγωγής, θρησκείας, γένους, εθνικότητας, σεξουαλικού προσανατολισμού, ηλικίας, ιθαγένειας, οικογενειακής κατάστασης, ειδικών αναγκών, ταυτότητας φύλου ή βετεράνου.