Job Description:
• Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
• Design and operationalize causal, predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
• Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.
• Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
• Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
• Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
• Provide technical leadership in causal inference and counterfactual analysis to assess underwriting and pricing changes.
• Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.
Requirements:
• 5+ years of experience in providing analytical leadership and expertise to forecasting and financial software products
• Deep expertise in causal inference , including causal modeling frameworks and bias‑adjustment techniques
• Experience building counterfactual and “what‑if” scenario analysis systems at scale
• Strong background in time‑series forecasting and predictive modeling using modern statistical and machine learning approaches
• Proven ability to design and operationalize end‑to‑end analytics or ML pipelines .
• 5+ years of strong Python skills and working knowledge of SQL and distributed data platforms (e.g., Spark)
• 5+ years of demonstrated success translating ambiguous business and product questions into measurable analytical solutions
• 5+ years of experience partnering with product, engineering, and business leaders to influence strategy and outcomes
• Track record of delivering analytics and reporting capabilities adopted by business and executive stakeholders
• Strong executive communication and storytelling skills.
• 5+ years of experience mentoring and leading senior data science and analytics professionals.
• People management experience is a plus.
Benefits:
• medical, dental, and vision coverage
• paid time off
• retirement savings options
• wellness programs
• other resources, based on eligibility