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Senior Data Scientist
Coalition Technologies. Measure, understand, and help optimize Coalition’s insurance business using analytics, experimentation, and modern statistical techniques .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics and data science with a focus on driving product and revenue impact through data-driven decision-making. Proficient in SQL, Python or R, and statistical methods to optimize the insurance business and enhance customer experience.
Highest-signal resume keywords
Expert SQL SkillsProficiency In Python Or RStrong Grasp Of Statistical MethodsExperience With BI ToolsDomain Experience In Insurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisExperiment DesignStatistical TechniquesData ModelingAutomated ReportingCausal Inference MethodsHypothesis TestingPerformance OptimizationContext EngineeringOKR Tracking
Soft Skills
Excellent CommunicationStakeholder ManagementMentoring
Tools & Technologies
LookerTableauAmplitudeGoogle AnalyticsMarketoSalesforceSegmentZuoraDbtAirflow
Industry Keywords
InsuranceInsurtechFintechRegulated Industries
Tech Stack
Tools & technologiesAirflowPythonSQLTableau
About the role
Key responsibilities & impact- Measure, understand, and help optimize Coalition’s insurance business using analytics, experimentation, and modern statistical techniques
- Improve the cyber insurance customer experience and grow revenue safely and efficiently
- Partner with product, engineering, and insurance stakeholders to identify emerging trends and prioritize opportunities
- Lead cross-functional analytics projects across the end-to-end customer journey
- Support enabling data analytics agents through context engineering support and data analysis
- Design and analyze experiments, establishing best practices for test design, power, guardrails, and interpretation
- Define, document, and maintain core funnel metrics
- Build automated dashboards and reporting for leadership
- Synthesize disparate data sources into clear narratives with recommended actions
- Develop data models and scalable analytical workflows
- Influence product and revenue leadership with data-backed recommendations and OKR tracking
- Mentor junior analysts and scientists and contribute to code quality and documentation standards
Requirements
What you’ll need- 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
- 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
Benefits
Comp & perks- 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 & physical health wellness programs like One Medical, Headspace, Wellhub, and more!
- Competitive compensation and opportunity for advancement