Data Scientist, Marketing Inference

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Requirements:

• BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering.
• At least 3-5 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets.
• Expertise in statistics, especially as it relates to hypothesis testing and experiment design.
• Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data.
• Experience building predictive models and causal inference models.
• Expertise in using tools like R and Python for data analysis.
• Proven success supporting or making business decisions based on your data analysis.
• Excellent communication skills, with experience simplifying complex topics for non-technical audiences.
• Advanced experience with SQL.

Responsibilities:

• Get insight from an enormous amount of data, and take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency.
• Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Data-Driven Attribution model.
• Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions.
• Look at complex problems and come up with testable models and algorithms that have measurable business impact.
• Enjoy great teamwork and take pride in building a world-class product that makes a difference in people's lives.