Uber
Marketing Applied Scientist II
Uber, San Francisco, California, United States, 94199
About the Role
We are looking for an Applied Scientist to join the Paid Marketing Measurement team. In this role, you will work closely with multiple stakeholders, including the Marketing Channels team and the Finance team, to leverage data and advanced analytics to drive business results.
An ideal candidate would have a good balance of experimentation expertise and statistical modeling, 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 Need
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 Bachelor's 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.
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We are looking for an Applied Scientist to join the Paid Marketing Measurement team. In this role, you will work closely with multiple stakeholders, including the Marketing Channels team and the Finance team, to leverage data and advanced analytics to drive business results.
An ideal candidate would have a good balance of experimentation expertise and statistical modeling, 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 Need
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 Bachelor's 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.
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