Uber Marketing Applied Scientist II 

United States, West Virginia 

372213799

About the Role

An ideal candidate would have a good balance of experimentation expertise and statistical model, with a deep understanding of one of the areas. Previous experience in advertising measurement or in a similar field is a plus.

- - - - What the Candidate Will Do ----

• Be in charge of productionizing models that estimate the marginal effectiveness of multiple marketing channels.
• Work with the Finance team to develop data-driven models to optimize marketing budgets and ensure efficient allocation of resources.
• Collaborate with the Product and/or Engineering teams to make the necessary data available (when applicable).
• Collaborate with the Marketing Channels team to design and implement A/B tests to measure the effectiveness of new campaigns.
• Support any ad hoc analysis required to design a robust experiment.
• Leverage experiment results to help the Marketing Channels team improve the performance of their campaigns.
• Partner with internal customers, including Operations, Finance, Product, and the Channel team, to develop paid marketing strategies.
• Collaborate with other science teams in marketing and other organizations to improve Uber’s measurement solutions.
• Here is what the typical day would look like :
• 50% modeling, designing experiments or measurement solutions
• 30% deep-dive analysis on campaign performance
• 20% stakeholder meetings

- - - - Basic Qualifications ----

• PhD, M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• Knowledge of underlying mathematical foundations of statistics, statistical modeling, and experimentation
• Proficiency in SQL
• Ability to use Python or R to work efficiently at scale with large data sets
• Experience with big data using technologies like Spark and Hive

- - - - Preferred Qualifications ----

• If M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor’s degree, a minimum of 4+ years of industry experience as a Data Scientist or equivalent
• Drive to learn complex topics quickly
• Previous experience in advertising tech and/or working with product and engineering teams to build scalable measurement solutions
• Experience with production statistical or ML models

For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.