Liberty Mutual Insurance
Assistant Director, Data Science, Modeling Sophistication
Liberty Mutual Insurance, Seattle, Washington, us, 98127
Overview
Assistant Director, Data Science, Modeling Sophistication at Liberty Mutual Insurance. This role focuses on applying computer vision and deep learning to reimagine risk assessment, product design, and customer service through production-ready models and scalable data infrastructure.
Responsibilities
Design, train, and deploy computer vision and deep learning models from research to production.
Collaborate with business stakeholders to deliver data products such as feature pipelines, predictive models, dashboards, and image-derived datasets.
Develop and maintain scalable data pipelines and model workflows applying MLOps best practices for reproducibility, deployment, and monitoring.
Research and prototype new methodologies for training, evaluating, and improving deep learning models, particularly for computer vision.
Integrate model outputs into business applications and partner with engineering to operationalize models in production.
Contribute to the design, construction, and validation of large, complex datasets with cross-functional teams.
Communicate findings through technical presentations, reports, and recommendations to technical and non-technical stakeholders.
Participate in cross-functional groups to promote best practices across the data science community.
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Expertise in predictive toolsets and development of tooling.
Strong communication skills with ability to convey complex information clearly.
Ability to build relationships within the function or SBU and train/present to peers and leaders.
Experience using results of analysis to persuade and influence decisions.
Typically requires a Ph.D. in Statistics, Mathematics, Economics, Actuarial Science or related field with 2+ years of relevant experience; or a Master’s with 4+ years; or a Bachelor’s with 5+ years (as applicable).
Preferred Skills & Experience
Expertise in deep learning with an emphasis on computer vision.
Strong foundation in ML, statistics, experimental design, and model evaluation metrics.
Proficiency in Python and MLOps practices; experience with Git, GitHub/GitLab, MLflow.
Experience with PyTorch (preferred) or TensorFlow; model design, training, deployment.
Experience building pipelines with Airflow or Luigi; Docker and CI/CD; Kubernetes.
Knowledge of GPU acceleration, distributed training, and optimization techniques (mixed precision, pruning, quantization).
Experience with multimodal learning and cross-modal representation learning.
Track record of moving research projects from ideation to implementation.
Pay and Location
Base pay range: $117,000.00/yr - $225,000.00/yr
This range is provided by Liberty Mutual Insurance; your actual pay will be based on skills and experience. Speak with your recruiter to learn more.
About Us Liberty Mutual is an equal opportunity employer. We value diversity and inclusion and provide comprehensive benefits and ongoing learning opportunities.
Job Details
Seniority level: Not Applicable
Employment type: Full-time
Job function: Analyst
Industries: Insurance
Optional notes: Referrals increase your chances of interviewing. Keep an eye out for new Director Data Science opportunities in Seattle, WA.
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Responsibilities
Design, train, and deploy computer vision and deep learning models from research to production.
Collaborate with business stakeholders to deliver data products such as feature pipelines, predictive models, dashboards, and image-derived datasets.
Develop and maintain scalable data pipelines and model workflows applying MLOps best practices for reproducibility, deployment, and monitoring.
Research and prototype new methodologies for training, evaluating, and improving deep learning models, particularly for computer vision.
Integrate model outputs into business applications and partner with engineering to operationalize models in production.
Contribute to the design, construction, and validation of large, complex datasets with cross-functional teams.
Communicate findings through technical presentations, reports, and recommendations to technical and non-technical stakeholders.
Participate in cross-functional groups to promote best practices across the data science community.
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Expertise in predictive toolsets and development of tooling.
Strong communication skills with ability to convey complex information clearly.
Ability to build relationships within the function or SBU and train/present to peers and leaders.
Experience using results of analysis to persuade and influence decisions.
Typically requires a Ph.D. in Statistics, Mathematics, Economics, Actuarial Science or related field with 2+ years of relevant experience; or a Master’s with 4+ years; or a Bachelor’s with 5+ years (as applicable).
Preferred Skills & Experience
Expertise in deep learning with an emphasis on computer vision.
Strong foundation in ML, statistics, experimental design, and model evaluation metrics.
Proficiency in Python and MLOps practices; experience with Git, GitHub/GitLab, MLflow.
Experience with PyTorch (preferred) or TensorFlow; model design, training, deployment.
Experience building pipelines with Airflow or Luigi; Docker and CI/CD; Kubernetes.
Knowledge of GPU acceleration, distributed training, and optimization techniques (mixed precision, pruning, quantization).
Experience with multimodal learning and cross-modal representation learning.
Track record of moving research projects from ideation to implementation.
Pay and Location
Base pay range: $117,000.00/yr - $225,000.00/yr
This range is provided by Liberty Mutual Insurance; your actual pay will be based on skills and experience. Speak with your recruiter to learn more.
About Us Liberty Mutual is an equal opportunity employer. We value diversity and inclusion and provide comprehensive benefits and ongoing learning opportunities.
Job Details
Seniority level: Not Applicable
Employment type: Full-time
Job function: Analyst
Industries: Insurance
Optional notes: Referrals increase your chances of interviewing. Keep an eye out for new Director Data Science opportunities in Seattle, WA.
#J-18808-Ljbffr