Senior Data Scientist - Coalition

About us

Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.

Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.

About the role

We’re looking for a Senior Data Scientist to measure, understand, and help optimize Coalition’s insurance business. You’ll use analytics, experimentation, and modern statistical techniques to improve the cyber insurance customer experience and grow revenue safely and efficiently.

You’ll partner closely with product, engineering, and insurance stakeholders to identify emerging trends, prioritize opportunities, and turn complex data into clear, actionable strategies that shape product and operational roadmaps.

Responsibilities

• Lead cross-functional analytics projects that uncover insights and optimization opportunities across the end-to-end customer journey.
• Support the team’s long term goal of enabling data analytics agents for the business through context engineering support and data analysis.
• Design and analyze experiments, and establish best practices for test design, power, guardrails, and interpretation.
• Define, document, and maintain core funnel metrics, and build automated dashboards and reporting for leadership.
• Synthesize findings from disparate data sources into clear narratives with 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.

Skills and Qualifications

• 6+ years 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 grasp 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, with the ability to explain technical work to non-technical audiences.

Bonus Points

• Experience with AI-assisted coding tools such as Cursor or GitHub Copilot.
• Domain experience in insurance, insurtech, fintech, or other regulated industries.
• Familiarity with tools like 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.