Data Scientist, UberEATs - APACx

Marketing - Central Marketing

Uber Overview

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.

Job Description

About the Role


As a Data Scientist on our APAC Marketing team, you will use advanced analytics and modeling to drive spend decisions for Uber’s multi-million dollar marketing budget. You will be responsible for collaborating with our HQ team in San Francisco to build and apply models that drive efficiency through optimization. By informing decisions through attribution and media mix models, you will directly impact the growth of supply and demand in APAC.


What You'll Do


  • Collaborate on building production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques.
  • Leverage machine learning models to address key growth challenges such as lifecycle marketing, predictive LTV, cross-channel spend allocation, response modeling and media attribution
  • Build robust attribution models that effectively measure performance of each digital (email/mobile) and offline channel
  • Collaborate with marketing leadership, design, product and engineering teams.
  • Participate in project planning, stakeholder management and data prioritization meetings


What You'll Need


  • Minimum of 4 years of experience in advanced quantitative analysis
  • Experience with a programming language (Python/Java/R/SCALA) required.
  • Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series).
  • Advanced SQL skills - comfortable working with very large data sets
  • Familiarity with Hadoop/Hive


Bonus Points if


  • M.S. in Computer Science, Engineering, Statistics, Economics or other relevant technical field
  • Expert knowledge of customer lifecycle and marketing analytics


About the Team


The Data and Analytics team plays an important role in defining overall modeling methodologies, project priorities and business direction. As continue to strive for efficiency, the team’s ability to collaborate with marketers, engineers and product leads alike adds value at every stage of our growth.  From testing campaigns to identifying targeting models for implementation, the team continues to have visible impact on the success of our various products and markets in APAC.


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