Data Scientist

Responsibilities

• Partner with stakeholders in Underwriting, Actuarial, Claims, Product, and Revenue to identify data-driven opportunities
• Translate business questions into analytical frameworks, hypotheses, and statistical approaches
• Analyze customer, broker, and operational data to identify trends and anomalies
• Conduct exploratory data analysis to generate actionable insights
• Communicate findings through visualizations, dashboards, and written summaries
• Develop predictive models and statistical analyses for pricing, underwriting, and claims
• Apply machine learning techniques including regression, classification, and clustering
• Evaluate and continuously improve model performance
• Collaborate with engineering and product teams to deploy models into production
• Support MLOps practices including model versioning, deployment, and monitoring
• Document model assumptions, methodology, and validation processes
• Contribute to the improvement of internal data infrastructure and ETL pipelines

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 3-7 years of experience in data science, advanced analytics, or statistical modeling
• Experience working with large datasets and complex analytical problems
• Strong programming skills in Python and SQL
• Experience with statistical modeling and machine learning techniques
• Experience with data visualization tools like Tableau, Power BI, or Looker
• Strong problem-solving and critical thinking skills

Preferred Qualifications

• Advanced degree (MS or PhD)
• Experience with Property & Casualty (P&C) insurance data
• Familiarity with Bayesian modeling or hierarchical models
• Experience with MLOps frameworks and model monitoring tools
• Experience in cloud data environments (AWS, GCP, Azure)
• Familiarity with data engineering concepts and ETL pipelines
• Experience conducting experiments or A/B testing

Benefits

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