Lead Data Scientist II - Partnerships

April 16

Apply Now

Receive Emails with Similar Jobs

Root Inc.

WebsiteLinkedInAll Job Openings

Root Inc. is an innovative car insurance company that utilizes mobile technology to offer personalized insurance rates based on individual driving behavior. The company operates through its app, which collects driving data via smartphone sensors, enabling it to provide more accurate and often cheaper auto insurance quotes for good drivers. Customers can manage their policies, file claims, and even earn rewards through the app, making it a convenient choice for users. Root Inc. emphasizes savings for safe drivers and provides additional features such as roadside assistance. Their services are available in various states across the U. S. , although some limitations apply depending on location.

Car Insurance • Mobile App • Technology • Automotive Telematics • Insurance

1001 - 5000 employees

Founded 2015

💳 Fintech

👥 B2C

📋 Description

• 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. • Partner with engineering and analytics to deliver production-grade solutions. • Mentor junior data scientists and set the standard for technical excellence and team collaboration. • Foster alignment with cross-functional stakeholders through consistent communication and insight-sharing. • Promote team effectiveness by championing good planning, process design, and best practices.

🎯 Requirements

• 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. • 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. • Strong communication skills with an ability to distill complex insights to non-technical partners. • Familiarity with ML Ops concepts such as feature stores, retraining pipelines, and post-deployment monitoring. • Ability to lead through ambiguity, prioritize high-impact work, and deliver in a fast-paced environment. • Comfortable working across cross-functional teams to align technical work to business goals. • Experience planning and sequencing team initiatives to deliver quarterly objectives. • A team-first mindset with a track record of mentoring and elevating others.