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Sr Data Scientist - Uber Eats Ads Product (Toronto)

Data Science
in Toronto, Canada

About the Role

The Uber Eats department is looking to build a cross-functional team in Toronto to develop a brand new ads product that will enable restaurants to grow their customer base and eaters to discover new foods. As one of the first data scientists on the team, you will get a once-a-lifetime chance to participate in the entrepreneurial process of creating and jumping start a new product that will fundamentally improve the growth and profit of the Uber Eats business. You will be contributing to the development of high technical algorithms and systems responsible for ads targeting, ranking, bidding, auction, budget pacing, reporting, etc.

What You'll Need

We are looking for candidates with advanced quantitative degrees who 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 engineering development process.

  • Minimum 4 years industry experience in analytics, data science modeling, or engineering
  • Superb quantitative background: Graduate degree required and PhD preferred
  • Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.; previous software engineering background a plus
  • Prior experience in Ad tech a big plus
  • 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
  • Entrepreneurial - excited about helping design, iterate, and scale a new product and business from scratch
  • Experimental - you have a creative mindset that enjoys experimentation and is willing to take bold bets despite risk of failure
  • Autonomy - you will be one of the first data scientists working on a brand new product for Uber; ability to operate independently is a must

About the Team

Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding food & grocery delivery business. These fascinating and difficult problems include personalized search and recommendation for restaurants and items, travel and food preparation time prediction, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more.

Since Uber Eats Data Scientists focus on the mathematics and engineering related to optimizing the growth and economics of Uber's logistics delivery marketplace, particular preference is given to candidates with backgrounds in AI & Machine Learning, Statistics, Operations Research, Economics, or similar.

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.