Principal Data Scientist, Applecart

• Degree in a quantitative discipline (e.g., mathematics, statistics, computer science). An advanced degree is preferred but not required
• Deep understanding of machine learning, statistics, and data science
• 7+ years of experience in data science and/or modeling
• 7+ years in digital advertising
• Proficiency in Python (or R) and SQL
• Proven experience in building reach metrics in digital advertising

Desirable

• As a Principal Data Scientist on the Research and Insights team, you will collaborate with the VP of Data Science
• Your primary focus will be on developing audience measurement metrics for programmatic advertising and social channels, contributing to Applecart's software platform for targeting, advertising, and evaluating the impact of campaigns
• Key responsibilities include building and modeling audience measurement metrics, implementing research for crossplatform audience measurement and predictive products using campaign logs and audience data to optimize audience construction
• Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments
• Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy
• Lead the design and implementation of survey based approaches to build audience measurement metrics
• Communicate analytical concepts and results clearly to stakeholders
• Ensure data integrity and accuracy through rigorous model testing and validation
• Collaborate with engineering teams to integrate models into production systems for scalability and reliability