Data Scientist III - Insurance & Generative AI (Hybrid- Webster or Boston)

MAPFRE•Webster, MA

3d•$100,900 - $159,500•Hybrid

About The Position

We are looking for a forward-thinking analytics leader to design, build, and scale advanced analytical solutions that solve complex, high-impact business problems. This role combines deep technical expertise in predictive modeling and machine learning with strong business acumen and insurance domain knowledge. You will play a critical role in shaping strategy by delivering actionable insights, presenting to senior leadership, and owning the long-term success of models and analytics products. You’ll also help drive innovation through the application of cutting-edge techniques, including Generative AI, while mentoring others and advancing best practices across the organization.

Requirements

Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or a related quantitative field (required), with either 8+ years of relevant experience, or a Master’s degree with 2+ years of relevant experience
Deep expertise in predictive modeling, machine learning, and statistical analysis
Strong experience working with complex data structures (sparse, high-dimensional, and time-series data)
Solid insurance domain knowledge is required, with claims experience highly preferred
Experience with Generative AI, including prompt engineering, testing/refinement, and agent-based solution design
Proven ability to solve ambiguous, complex problems with minimal direction and high autonomy
Strong communication skills, with the ability to translate complex analytics into clear business insights for senior stakeholders
Experience owning and managing models in production environments, including monitoring and MLOps practices
Demonstrated ability to innovate, research new techniques, and apply them to real-world business problems
Experience mentoring team members and influencing best practices across teams
Strong organizational and project management skills, with the ability to prioritize high-value work

Responsibilities

Lead the development and deployment of advanced predictive models, machine learning solutions, and Generative AI use cases for complex business challenges
Translate analytics into actionable insights that drive decision-making and align with company strategy
Build and automate sophisticated reports, dashboards, and model outputs for business and executive stakeholders
Present model performance, lift, and impact analyses to senior leadership
Own the full lifecycle of models, including development, validation, deployment, monitoring, and continuous improvement
Conduct research into innovative algorithms and GenAI approaches to unlock new opportunities and use cases
Develop, test, and refine prompts, and support the design of agent-based GenAI workflows
Work with complex datasets, including sparse, high-dimensional, and time-series data
Measure economic impact and partner with business teams to define KPIs and ensure value realization
Design processes and tools to monitor model performance, reliability, and stability in production
Develop internal tools and programs to accelerate deployment, retraining, and scaling of models (MLOps), supporting both batch and real-time environments
Collaborate cross-functionally and serve as the key liaison with IT to implement and scale solutions
Lead end-to-end project execution, prioritizing high-impact initiatives and managing timelines
Create executive-ready presentations and detailed technical documentation to communicate results and best practices
Mentor and guide junior team members while promoting best-in-class modeling and statistical techniques
Partner with data governance and business teams to improve data quality, feature engineering, and overall data strategy
Identify and evaluate new data sources and emerging analytical techniques to maintain competitive advantage
Advocate for a data-driven culture and continuous innovation across the organization