coalition · Any location, United States
Skills: Python, SQL
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, perfor…
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