Senior Machine Learning Scientist

Summary

Join Coalition, a leading Active Insurance provider, and lead cross-functional analytics projects. You will leverage advanced SQL and data modeling to generate actionable business insights and optimize operations. Develop data-driven recommendations, analyze customer journeys, and design robust data models and reporting solutions. Integrate data from various sources, mentor junior team members, and contribute to a culture of data excellence. This role requires a Bachelor's degree, 5+ years of experience in data analysis, and proven SQL expertise. Strong programming skills in Python or R are also essential.

Requirements

• Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, or a related field
• 5+ years of professional experience in data analysis, business analytics, or a related analytical role
• Proven expertise in SQL, including complex query design, data modeling, optimization for performance, and thorough code documentation
• Strong programming skills in Python, R, or similar programming language
• Solid knowledge of analytical and statistical techniques: hypothesis testing, experiment design, data interpretation, and actionable recommendation development
• Demonstrated experience working with BI/visualization tools like Tableau, Looker, or similar
• Strong communication skills, with the ability to present technical findings clearly to non-technical business audiences
• Track record of effective collaboration across product, operations, and cross-functional teams
• Ability to context switch seamlessly between multiple areas of the business, prioritizing diverse requests and adapting to varied stakeholder needs
• Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Responsibilities

• Lead and execute cross-functional analytics projects using advanced SQL and data modeling to uncover actionable business insights and identify optimization opportunities
• Develop clear, data-driven recommendations to improve operational efficiency, influence product leadership, and support company objectives (including OKR tracking)
• Analyze and map the end-to-end customer journey to understand and measure key touchpoints, helping identify gaps and propose data-informed solutions
• Design and deliver robust data models, reporting solutions, automated dashboards, and performance metrics to support strategic decisions
• Integrate, clean, and synthesize data from multiple sources to build comprehensive narratives and actionable business stories
• Serve as an SQL subject matter expert, mentoring junior team members and promoting best practices in query design, data modeling, and documentation
• Contribute to a culture of data excellence by exemplifying quality, empathy, and continuous improvement in all analytics processes

Preferred Qualifications

• Experience in insurance underwriting, insurtech, cyber security or fintech sectors
• Familiarity with operational/business tools, such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora
• Exposure to ETL and analytics workflow tools (e.g., DBT, Airflow)
• Experience using Cursor or other GenAI Assisted IDE for coding
• Understanding of advanced topics like causal inference or other advanced statistical methods

Benefits

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
• Competitive compensation and opportunity for advancement