Lead Data Scientist

Summary

Join Chestnut, a leading AI-native operating system for insurance distribution, as a Lead Data Scientist. You will lead a team of analysts and data scientists, building systems and processes to turn insights into impact. Collaborate with product, design, and founders to ensure data accuracy and drive results. Unlock data-driven decisions by exploring and analyzing customer data. Build robust data workflows, from ingestion to analysis-ready pipelines. Develop and deploy predictive models to forecast outcomes and personalize user experiences. Be a thought partner, identifying data needs and shaping requirements. Introduce best practices in analytics and mentoring others to build a data-fluent culture.

Requirements

• Are fluent in SQL and Python and are comfortable owning data from ETL to modeling to visualization
• Have built dashboards and reports with tools like Looker, Power BI, or Tableau and know how to tell a clear story with data
• In partnership with engineering, have deployed predictive models into production and understand the full data lifecycle from data exploration to training to monitoring
• Are comfortable with statistical testing, causal inference, and experiment design
• Have worked in fast-paced, ambiguous environments and thrive when collaborating cross-functionally
• Are excited by open-ended problems and know how to prioritize ruthlessly to drive business impact

Responsibilities

• Unlock data-driven decisions : Explore and analyze customer data to provide insights, create business value, and inform product decisions
• Build robust foundations : Collaborate and own end-to-end data workflows - from raw ingestion to analysis-ready pipelines - ensuring accuracy, consistency, and scale
• Predict the future : Develop and deploy models to forecast outcomes, detect anomalies, and personalize user experiences
• Be a thought partner : Bring a strategic lens to data by identifying data needs and shaping requirements
• Raise the bar : Introduce best practices in analytics, experimentation, and modeling, including mentoring others to build a data-fluent culture

Preferred Qualifications

• Data stakeholders feel empowered and supported in making fast, informed decisions
• Forward-deployed implementation teams supported with thoughtful data strategy and project plan
• Key business questions - both for internal users and external customers - have been proactively answered through thoughtful analysis
• At least one high-impact predictive model is scoped, prototyped, or tested
• Teammates see you as a go-to partner for insights, strategic thinking, and leveling up their data instincts

Benefits

• Competitive salary and equity, with 10 year exercise window for stock options
• Remote-first culture built on trust, autonomy, and high performance
• Team offsites for all of us to bond
• Take what you need vacation policy
• Top notch health, dental, and vision insurance subsidized by us