Data Scientist

Summary

Join Attune, a company revolutionizing insurance access for small businesses, as a Data Scientist. You will collaborate with various teams (Actuarial, Underwriting, Claims, Product, Revenue, and Customer Experience) to develop predictive models, analyze customer behavior, and improve data infrastructure. Responsibilities include translating business needs into analytical approaches, investigating business problems, and developing statistical analyses. You will also explore new datasets, operationalize your work by integrating models into business tools, and support ad-hoc data requests. This role requires strong data science experience, proficiency in Python and SQL, and a passion for solving real-world problems using data. Attune offers a remote-first culture and various benefits.

Requirements

• 5+ years of experience in a data science, analytics, or statistics-focused role
• Excited about working with business leads across many different functions to solve real day-to-day problems using data
• Hands-on experience with predictive modeling, including regression, classification, clustering, and other ML techniques
• Proficiency in Python and SQL

Responsibilities

• Partner with teams across the business —from Underwriting to Customer Experience—to understand their goals and identify how data can drive better decisions. You’ll translate business needs into analytical approaches and communicate findings in a clear, actionable way
• Analyze customer and broker behavior to improve engagement, retention, and conversion. This includes segmentation, churn analysis, usage patterns, and anomaly detection to flag unusual or risky behavior
• Investigate business problems and test hypotheses using rigorous data exploration. Examples might include: What types of risks are associated with higher loss ratios? How do product usage patterns correlate with retention? Where can we find operational efficiencies?
• Develop predictive models and statistical analyses to support pricing, reserving, underwriting, and claims initiatives. You’ll apply a mix of statistical and machine learning techniques (e.g., regression, classification, clustering) to solve complex business problems with real-world impact
• Explore new internal and third-party datasets , evaluate their usefulness, and incorporate them into models and dashboards to unlock new insights or increase model performance
• Operationalize your work by integrating models into tools and workflows used by other departments. Collaborate with engineering and product to ensure insights are accessible, scalable, and reliable
• Contribute to the improvement of our internal data infrastructure , including helping to maintain and enhance ETLs, develop internal data tools or APIs, and optimize our reporting and dashboarding ecosystem
• Support ad-hoc data requests and deep dives , helping teams get quick answers to pressing questions and identifying longer-term opportunities for automation or model development

Preferred Qualifications

• Familiarity with advanced statistical modeling (Bayesian modeling, hierarchical models, etc.) is a plus
• Bonus: Familiarity with P&C insurance data and industry-specific modeling challenges

Benefits

• Flexible PTO
• Generous parental and caregiver leave
• 401K match
• Excellent medical, dental, and vision plans
• Remote-first culture
• Annual $1000 tuition reimbursement stipend