Director, Data Science & Predictive Analytics

Liberty Mutual Insurance; Seattle (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Liberty Mutual Insurance is seeking a data science leader to deliver predictive analytics solutions across insurance use cases. You will define problems, prepare data, engineer features, build models, validate outcomes, and deploy solutions at scale.

You will translate business goals into analytic plans, collaborate with stakeholders, and apply ML, deep learning, and computer vision techniques to large datasets. Remote/hybrid work options are available with travel as needed.

Qualifications

• Experience conducting data-driven experiments to support business decisions in an insurance setting.
• Deliver strategic decision support using insurance analytics and pricing platforms (e.g., Emblem, Earnix).
• Implement data and model artifact versioning and reproducible ML workflows (DVC/MLflow).
• Build and maintain monitoring dashboards and production data pipelines (Snowflake/Airflow).
• Apply geospatial fundamentals (CRS, projections) and pixel-to-geo transforms.
• Train, evaluate, and improve computer vision models (object detection/segmentation).
• Optimize deep learning training performance via profiling and data loading.
• Develop, deploy, and operate data science solutions on AWS/Azure with CI/CD.

Responsibilities

• Lead end-to-end delivery of predictive analytics solutions, including problem definition, data preparation, feature engineering, model development, validation, and deployment.
• Translate business objectives into analytic approaches, success metrics, and project plans for medium-sized data science initiatives.
• Partner with cross-functional stakeholders to gather requirements and align analytics deliverables with business strategy.
• Apply ML, deep learning, statistical modeling, and optimization techniques to large structured and unstructured datasets to generate insights and predict outcomes.
• Identify and test hypotheses using appropriate statistical methods and evaluate model performance for rigor.
• Develop and apply computer vision methods for insurance use cases, including model training, evaluation, and monitoring.
• Produce clear visualizations and narratives that communicate findings to non-technical and senior audiences.
• Document modeling methodology, assumptions, limitations, and results for reproducibility and governance; monitor model performance over time.
• Provide technical guidance through code reviews and best-practice recommendations for team execution.
• Position requires domestic travel up to 10%; telecommuting permitted up to 60%.

Skills

Experimentation

Hypothesis testing

Communication of findings

Geospatial fundamentals

Computer vision

Deep learning

Model deployment

Cloud platforms

Education

PhD in Computer Science, Statistics, or related field

Master’s in Computer Science, Statistics, or related field

Tools

Emblem

Earnix

DVC

MLflow

Snowflake

Airflow

Docker

AWS

Azure

Job description

Liberty Mutual Insurance is seeking a data science leader to deliver predictive analytics solutions across insurance use cases. You will define problems, prepare data, engineer features, build models, validate outcomes, and deploy solutions at scale.

You will translate business goals into analytic plans, collaborate with stakeholders, and apply ML, deep learning, and computer vision techniques to large datasets. Remote/hybrid work options are available with travel as needed.