Senior Data Scientist

🕒 September 3

🇺🇸 United States – Remote

💵 $125k - $140k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 1%

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Bestow

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

🏥 Healthcare

💳 Fintech

Consulting • Healthcare • Fintech

Bestow is a leading life insurance SaaS platform provider that offers innovative technology solutions for life and annuity insurance carriers. By providing tools such as digital applications, customizable underwriting engines, and comprehensive customer portals, Bestow helps streamline the entire insurance process from quoting to policy administration. The company focuses on enhancing the speed and efficiency of insurance operations, enabling carriers to launch new products swiftly and optimize their customer service capabilities.

📋 Description

• Develop traditional machine learning models from proof of concept through production deployment • Own feature engineering, validation, deployment, performance monitoring, drift detection, and retraining • Partner with engineering to productionize models within Bestow’s existing pipelines and platforms • Develop internal analytics products, dashboards, self-serve reporting, natural-language interfaces, and agentic tools • Build LLM-powered and agentic applications with evaluation, monitoring, and human oversight for a regulated industry • Document, train, and enable business stakeholders to self-serve on analytics tools and agents • Turn recurring analytical and modeling work into pipelines and monitoring systems that detect anomalies and surface insights proactively • Write production-grade Python and SQL using version control, code review, testing, and CI/CD • Improve data quality, documentation, and modeling standards • Establish patterns for AI-assisted and agentic analytics workflows across the team • Collaborate with product, actuarial, marketing, operations, and engineering teams

🎯 Requirements

• 5+ years of professional experience in data science (or equivalent experience) • Track record of shipping ML models and data products to production • Advanced SQL skills • Experience with cloud data warehouses, preferably BigQuery • Clean, maintainable Python development • Hands-on experience building traditional ML models, including classification, regression, or similar • Experience taking models from prototype through production deployment, including ongoing performance monitoring • Strong statistical fundamentals, including feature engineering and validation methodology • Hands-on experience building with LLMs and agentic systems, including prompting, retrieval, tool use, and evaluation • Experience using AI coding agents such as Claude Code or Cursor as a core part of daily workflow • Experience driving stakeholder adoption of tools • Ability to communicate with non-technical stakeholders and translate requirements into usable models and tools • Ability to scope work independently and follow through to adoption • Experience building or contributing to agent-based or LLM-powered analytics platforms (nice to have) • Experience in insurance, fintech, or another regulated domain (nice to have) • Experience building internal web tools or lightweight frontends for analytics products (nice to have) • Version control, code review, testing, and CI/CD • Must be legally authorized to work in the United States • Must not require visa sponsorship to continue working full-time in the United States

🏖️ Benefits

• Competitive salary • Equity • Bonus • Flexible paid time off • Parental leave programs • 100% paid-premium option for medical, dental, and vision insurance • Lifestyle stipend supporting physical, emotional, and financial wellbeing • Flexible work-from-home policy • Remote and WFH options • State-of-the-art office in Dallas’ Deep Ellum for employees who prefer an office setting • Employee-led diversity, equity, and inclusion initiatives • Growth opportunities