Responsibilities

• Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent.
• Shape and support new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer-facing teams.
• Define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, and bidding.
• Develop and implement quantitative methods to answer those questions through team collaboration.
• Solve difficult, non-routine analysis problems with data sets, applying problem-solving methods as needed and conducting analyses that include data gathering and requirements specification, exploratory data analysis, model development, and written and verbal delivery of results to business partners and executives.
• Collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.

Preferred

• 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.
• Experience with optimization techniques.
• Experience with high-dimensional statistics.