Senior Data Scientist

Role overview

A senior data scientist is needed to join a Data & Analytics function supporting a technology platform serving the life insurance industry. The role blends hands-on machine learning with the development of AI-powered, self-serve analytics products that put data and predictions directly in the hands of business stakeholders and carrier partners. The position is fully remote for candidates based in the contiguous U.S., with a written-first, async-friendly collaboration style.

Responsibilities

- Design, build, and deploy traditional ML models (classification, regression, anomaly detection) from proof of concept through production. - Own the full model lifecycle, including feature engineering, validation, deployment, monitoring, drift detection, and retraining. - Partner with engineering teams to productionize models within existing data pipelines and platforms. - Build internal analytics products, from dashboards and self-serve reporting to natural-language and agentic interfaces that let non-technical stakeholders query data and model outputs directly. - Develop LLM-powered and agentic applications with proper evaluation, monitoring, and human-in-the-loop oversight appropriate for a regulated industry. - Convert recurring analytical and modeling tasks into automated pipelines and monitoring systems that surface insights proactively, and enable business stakeholders to self-serve. - Write production-grade Python and SQL with version control, code review, testing, and CI/CD.

Requirements

- 5+ years of professional data science experience with a track record of shipping ML models and data products to production. - Advanced SQL skills and hands-on experience with cloud data warehouses, with BigQuery preferred. - Strong Python skills and clean, maintainable coding practices. - Hands-on experience building and productionizing traditional ML models (classification, regression, or similar). - Demonstrated ability to translate business questions from non-technical stakeholders into usable models and tools. - Self-starter mindset with strong ownership, scoping ability, and follow-through to real adoption. - Comfort working in a written-first, async-friendly environment, giving and receiving direct feedback.

Nice to have

- Experience directing AI coding agents such as Claude Code or Cursor. - Background building agentic analytics workflows and self-serve data products. - Familiarity with regulated-industry data, models, and governance.

Benefits and work setup

- Competitive salary plus equity based on role. - Flexible paid time off and parental leave programs supporting work/life balance. - 100% employer-paid premium option for medical, dental, and vision insurance. - Lifestyle stipend supporting physical, emotional, and financial wellbeing. - Fully remote work-from-home policy with optional access to a state-of-the-art physical office for those who prefer in-office work. - Employee-led diversity, equity, and inclusion initiatives.