Root is seeking to optimize its Partnerships and Independent Agents distribution channels by using data and technology in innovative new ways, and improve the lives of its customers by offering better insurance solutions.
Requirements
- Proven expertise in Python (and/or R) and SQL; experience with modern ML and experimentation frameworks.
- Deep understanding of measurement, causal inference, and statistical validation.
- Familiarity with ML Ops concepts such as feature stores, retraining pipelines, and post-deployment monitoring.
- Experience with predictive models, running experiments, and supporting decision-making in business environments.
- Strong understanding of data science concepts and techniques.
- Experience with data visualization tools and techniques.
- Ability to work with large datasets and perform data analysis.
Responsibilities
- Serve as the technical lead for data science efforts across partnerships and agent channels.
- Translate partner needs and growth objectives into actionable data science projects.
- Conduct advanced research in pricing strategy, compensation optimization, and predictive agent performance.
- Develop lead-scoring models to prioritize high-conversion agents and tailor outreach strategies.
- Use NLP to extract insights from partner feedback and support logs, driving product and relationship improvements.
- Design and validate experiments and measurement frameworks that guide business decisions.
- Develop proof-of-concepts and quantitative models to evaluate new growth opportunities.
Other
- BS, MS, or PhD in Statistics, Computer Science, Economics, or a related field.
- 6+ years of experience building predictive models, running experiments, and supporting decision-making in business environments.
- Strong communication skills with an ability to distill complex insights to non-technical partners.
- Ability to lead through ambiguity, prioritize high-impact work, and deliver in a fast-paced environment.
- A team-first mindset with a track record of mentoring and elevating others.
