Lead Data Scientist - Growth
November 8
Description
• Spearhead the research and development of media mix models to drive demonstrably profitable growth • Perform rapid testing and rigorous measurement of novel marketing strategies • Provide domain-wide thought leadership on mid-upper funnel experimentation, targeting, measurement, and best practices based on industry experience • Proactively identify and frame greenfield opportunities for expansion and optimization of direct marketing at Root • Build data science pipelines to quickly iterate on research ideas and put them into production • Influence tactical and strategic planning for the team, including sprint planning, 6-week reviews, and quarterly OKR setting • Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions
Requirements
• Advanced degree in a quantitative discipline (PhD preferred) and 6+ years of applying advanced quantitative techniques to problems in industry • Full funnel marketing experience: Developing, executing, and measuring the impact of targeted, data-driven marketing strategies • Targeting Models: building and deploying ML targeting models for video, display, and/or email campaigns • Measurement: designing and implementing A/B tests to measure the incremental lift of a new campaign • Media Mix Models: building and operationalizing media mix models, with rigorous post-deployment analysis of their efficacy • Technical skills: Advanced programming skills with experience using modern packages in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git) • Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena • Excellent business intelligence and visualization skills, with the ability to speak to many different audiences • Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work • Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide but not dictate the solution • Preferred but not required: Experience working with DSPs such as The Trade Desk and Meta • Experience using identity graphs to enhance targeting and measurement of marketing campaigns • MLOps: experience with automation and building scalable and efficient ML solutions, familiarity with software engineering best practices • Insurance industry experience
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