Senior Data Scientist

Coalition, Inc.

1d • $172,000 - $205,000 • Remote

About The Position

Coalition is seeking a Senior Data Scientist to measure, understand, and help optimize its insurance business. The role uses analytics, experimentation, and statistical techniques to improve the cyber insurance customer experience and support safe, efficient revenue growth. The Senior Data Scientist partners with product, engineering, and insurance stakeholders to identify trends, prioritize opportunities, and turn complex data into actionable strategies that influence product and operational roadmaps.

Requirements

• At least 6 years of experience in analytics or data science, with demonstrated product or revenue impact.
• Expert SQL skills, including complex modeling, performance optimization, and clear documentation.
• Proficiency in Python or R for analysis, experimentation, and reproducible workflows.
• Strong understanding of statistical methods, including hypothesis testing, experiment design, causal thinking, and interpretation.
• Experience with BI tools such as Looker or Tableau and the ability to build reliable, executive-ready dashboards.
• Excellent communication and stakeholder management skills, including the ability to explain technical work to non-technical audiences.

Nice To Haves

• Experience with AI-assisted coding tools such as Cursor or GitHub Copilot.
• Domain experience in insurance, insurtech, fintech, or another regulated industry.
• Familiarity with tools such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora.
• Experience with analytics workflow tools such as dbt or Airflow.
• Exposure to causal inference methods and quasi-experimental designs.

Responsibilities

• Lead cross-functional analytics projects to identify insights and optimization opportunities across the end-to-end customer journey.
• Support the long-term goal of enabling business data analytics agents through context engineering and data analysis.
• Design and analyze experiments, and establish best practices for test design, statistical power, guardrails, and interpretation.
• Define, document, and maintain core funnel metrics; build automated dashboards and leadership reporting.
• Synthesize findings from disparate data sources into clear narratives and recommended actions.
• Develop data models and scalable analytical workflows that improve reliability, repeatability, and time-to-insight.
• Influence product and revenue leadership with data-backed recommendations and OKR tracking.
• Mentor junior analysts and scientists, and contribute to team standards for code quality and documentation.

Benefits

• 100% medical, dental, and vision coverage.
• 401(k) retirement plan with competitive employer match.
• Flexible PTO.
• Up to 14 weeks of paid leave for birthing parents and 8 weeks of paid parental leave for non-birthing parents.
• Annual home office stipend and WeWork access.
• Mental and physical health wellness programs, including One Medical, Headspace, and Wellhub.
• Competitive compensation and opportunity for advancement.

What This Job Offers

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