Senior Data Scientist - Bestow

About Bestow

Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation.

Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart.

About the Team

The Data & Analytics team is responsible for the data that powers Bestow and the Bestow Platform: the pipelines, models, and analytical products that our business teams, executives, and carrier partners rely on every day. We sit at the center of the company, partnering with product, actuarial, marketing, operations, and engineering to build the machine learning (ML) models and AI-powered, agentic tools.

*Note: This role is open to remote employees in the U.S. (48 contiguous states only).*json

What You'll Do

As a Senior Data Scientist on the Data & Analytics team, you'll split your time across two areas: building and productionizing machine learning models, and building agentic AI tools and data products.

• Build ML models: Develop traditional ML models (classification, regression, anomaly detection) from proof of concept (POC) through production deployment.
• Own the model lifecycle: Handle feature engineering, validation, deployment, ongoing performance monitoring, drift detection, and retraining.
• Productionize with engineering: Partner with engineering to productionize models within Bestow's existing pipelines and platforms.
• Build agentic data products: Develop internal analytics products, from dashboards and self-serve reporting to natural-language and agentic interfaces.
• Build with LLMs responsibly: Build LLM-powered and agentic applications with proper evaluation, monitoring, and human oversight in a regulated industry.
• Drive adoption: Document, train, and enable business stakeholders to self-serve on the tools and agents you build.
• Automate recurring work: Turn recurring analytical and modeling work into pipelines and monitoring systems that detect anomalies and surface insights proactively.
• Write production-grade code: Use Python and SQL with version control, code review, testing, and CI/CD.
• Raise the bar: Improve data quality, documentation, and modeling standards, and establish patterns for AI-assisted workflows.

Who You Are

• Experienced: 5+ years of professional experience in data science, with a track record of shipping ML models and data products to production.
• SQL and Python fluent: Advanced SQL skills, experience with cloud data warehouses (BigQuery preferred), and clean, maintainable Python.
• A model builder: Hands-on experience building traditional ML models from prototype through production deployment.
• Statistically grounded: Strong statistical fundamentals underpinning modeling work, feature engineering, and validation methodology.
• Agentic and AI-fluent: Hands-on experience building with LLMs and agentic systems, utilizing AI coding agents (e.g., Claude Code, Cursor) as part of daily workflows.
• A driver of adoption: Proven track record of getting stakeholders to change how they work using built tools.
• A clear communicator: Ability to translate requirements into models and tools non-technical stakeholders can use.
• An owner: Self-starter who scopes their own work and follows through to adoption.

Total Rewards

• Competitive salary and equity based on role
• Flexible paid time off and parental leave programs
• 100% paid-premium option for medical, dental, and vision insurance
• Lifestyle stipend to support physical, emotional, and financial wellbeing
• Flexible work-from-home and remote options
• Employee-led diversity, equity, and inclusion initiatives