# Senior Data Scientist at Bestow

- Company: Bestow
- What the company does: Bestow is the leading end-to-end life insurance SaaS company partnering with top carriers to modernize and transform the way they do business. Backed by NEA.
- Company website: https://www.bestow.com/
- Type: Startups
- Level: Senior
- Location: Remote
- Work setup: Remote
- Pay: $125K to $140K base salary per year (USD)
- Posted: 2026-09-03
- Apply by: 2026-10-18
- Apply: https://jobs.ashbyhq.com/bestow/f636c266-6203-4b34-8060-a3c52eec61b4
- Page: https://www.1752.vc/careers/jobs/bestow-senior-data-scientist/

## About the role

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 the agentic AI tools and data products that turn one-off analysis and modeling work into durable, self-serve capability. This role is perfect for someone who is equally happy digging into a funnel conversion question, shipping a production model with monitoring in place, and building the agent that means no one has to ask the question manually again.

## What they're looking for

- Experienced. 5+ years of professional experience in data science (or equivalent experience), with a track record of shipping ML models and data products to production
- SQL and Python fluent. You have advanced SQL skills and are experienced with cloud data warehouses (BigQuery preferred), and you write clean, maintainable Python
- A model builder. You have hands-on experience building traditional ML models (classification, regression, or similar) and taking them from prototype through production deployment, including ongoing performance monitoring
- Statistically grounded. You have 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
- A driver of adoption. You've driven real adoption of tools you've built, not just shipped them: getting stakeholders to actually change how they work
- A clear communicator. You communicate well with non-technical stakeholders, translating requirements into models and tools they can actually use

Tags: Analytics and Data Sciences