Root Inc. is an innovative insurtech company focused on revolutionizing the car insurance industry through technology. The Senior Data Science Manager, Performance Marketing will lead a team to enhance marketing strategies and operational processes using quantitative methods, while owning the measurement framework for performance marketing.
Responsibilities:
- Advance Root’s performance marketing engine through improved bidding strategies, automation, and applied machine learning
- Lead a team of 3-5 data scientists and machine learning engineers accountable for the deployment and performance of a nine-figure annual marketing budget
- Drive fast, disciplined experimentation across channels and partners, with clear measurement of incremental impact on growth and profit
- Make operationally critical decisions under uncertainty, balancing speed, risk, and rigor
- Partner with cross-functional leaders to influence priorities and deliver high-impact initiatives
- Define quarterly and annual roadmaps for performance marketing, translating business goals into prioritized modeling, measurement, and infrastructure enhancements
- Maintain a high standard of operational excellence across the team
Requirements:
- Advanced degree in a quantitative discipline (PhD preferred) and 7+ years of applying advanced quantitative techniques to problems in industry
- 3+ years in a leadership role, with a track record of growing talent, scaling team impact, and delivering strategic outcomes
- Demonstrated experience building, validating, and applying statistical machine learning methods to industry problems
- Excellent command of AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena
- Excellent written and verbal communication skills: communicates effectively with technical and non-technical audiences
- Comfort leading across multiple concurrent initiatives while maintaining clarity and momentum
- Strong ownership mindset, proactively identifying high-impact opportunities and driving them through execution
- Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide but not dictate the solution
- Insurance industry experience
- Experience owning and operating systems that support large-scale customer acquisition
- Full funnel marketing experience: developing, executing, and measuring the impact of targeted, data-driven marketing strategies