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.
About the Role
We’re looking for an experienced data scientist on our Marketing Data Science team to apply statistical and machine learning models to drive investment decisions for Uber’s multi-million dollar marketing budget. You will be responsible for building quantitative models and developing actionable analytical solutions that will inform decisions across Uber’s marketing budget, accelerating both demand and supply growth within Uber’s 600+ cities worldwide! The right person for this role has a passion for leveraging large scale data analysis, predictive modeling, machine learning, experimentation and technology to power decisions across our marketing investment.
What You’ll Do
Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques
Leverage models to address key growth challenges such as cross-channel spend allocation, response modeling, advertising partner quality measurement, customized content recommendation and ad serving
Work with cross-functional teams to implement and deploy models and enhance analytical solutions by providing data-driven recommendations
Leverage large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
Collaborate with marketing leadership, design, product and engineering teams
Participate in project planning/prioritization meetings, stakeholder meeting, data prioritization meeting, etc.
What You’ll Need
Minimum 1 year of experience as a data scientist at a company with global operations
Expertise with R or Python
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
Experience with big data using technologies like Hadoop, Hive, and Spark a plus
Previous experience in advertising tech is a plus
Experience in building advertising bid optimization algorithms a plus
Great communication skills, organized, able to multitask and be a team player
Balance attention to detail with swift execution
Hunger and drive to learn complex topics
Enthusiasm about Uber!