Senior Data Scientist

Bestow

4d • $125,000 - $140,000 • Remote

About The Position

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. Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. 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. If you want to help reimagine a centuries-old industry with lasting impact, join us. Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities. Bestow uses E-Verify to confirm the employment eligibility of all newly hired employees. 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 that put data and predictions directly in stakeholders' hands. This role is open to remote employees in the U.S. (48 contiguous states only.)

Requirements

• 5+ years of professional experience in data science (or equivalent experience), with a track record of shipping ML models and data products to production.
• Advanced SQL skills and experienced with cloud data warehouses (BigQuery preferred), and you write clean, maintainable Python.
• Hands-on experience building traditional ML models (classification, regression, or similar) and taking them from prototype through production deployment, including ongoing performance monitoring.
• Strong statistical fundamentals underpinning your modeling work: feature engineering, validation methodology, and the judgment to know when a model is (and isn't) the right tool.
• Hands-on experience building with LLMs and agentic systems (prompting, retrieval, tool use, evaluation), and you use AI coding agents (e.g., Claude Code, Cursor) as a core part of your daily workflow, directing them through clear context, explicit constraints, and deliberate planning.
• Driven real adoption of tools you've built, not just shipped them: getting stakeholders to actually change how they work.
• Communicate well with non-technical stakeholders, translating requirements into models and tools they can actually use.
• Scope your own work, follow through to adoption, and don't wait to be told what the next question is.

Nice To Haves

• Experience building or contributing to agent-based or LLM-powered analytics platforms
• Experience in insurance, fintech, or another regulated domain
• Experience building internal web tools or lightweight frontends for analytics products

Responsibilities

• Build ML models. Develop traditional ML models (classification, regression, anomaly detection, and similar) from proof of concept (POC) through production deployment.
• Own the model lifecycle. Handle feature engineering, validation, deployment, and 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 that let non-technical stakeholders query company data and model outputs directly.
• Build with LLMs, responsibly. Build LLM-powered and agentic applications with proper evaluation, monitoring, and human oversight, appropriate for a regulated industry.
• Drive adoption. Document, train, and enable business stakeholders to self-serve on the tools and agents you build.
• Automate the 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 continuous integration/continuous delivery (CI/CD).
• Raise the bar. Improve data quality, documentation, and modeling standards, and establish patterns for AI-assisted and agentic analytics workflows across the team.

Benefits

• Competitive salary and equity based on role
• Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
• 100% paid-premium option for medical, dental, and vision insurance
• Lifestyle stipend to support your physical, emotional, and financial wellbeing
• Flexible work-from-home policy and open to remote
• Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
• Employee-led diversity, equity, and inclusion initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed