Data Scientist

Short Description

UBER is looking for a Data Scientist who can build production-grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques.

Job Description

About the Role
We are looking for Data Scientist to join our team to solve interesting and impactful business problems in the domain of marketing analytics and ad tech. An ideal candidate needs to have strong curiosity on data, and demonstrable ability to successfully apply rigorous scientific methods with proficiency in data science knowledge and technical capabilities. This is a unique opportunity to apply your skills and has a direct impact on global business.

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.
  • Build models to derive insights from current Uber's customers to improve communications, retention, engagement, LTV and develop methods for efficient targeting for prospecting customers at scale.
  • 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 and finance leadership, design, product, and engineering teams. Participate in project planning/prioritization meetings, stakeholder meetings, data prioritization meetings, etc.
  • Translate data-driven learnings into actionable insights.

What you'll need
  • Minimum 3 years of experience as a data scientist at a company with global operations
  • Expertise with R and Python
  • Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, mathematical optimization).
  • 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
  • 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 for Uber!

Data Scientist
Mid-Senior-level Technology | Information | Information Technology Full-time Engineering | Information Technology | Other Data Scientist
Uber is evolving the way the world moves. By connecting riders to drivers through our apps, we make cities more accessible?opening up more possibilities for riders and more business for drivers. From our founding in 2009 to our launches in 600+ cities today, Uber's rapidly expanding global presence continues to bring people and their cities closer.