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Director, Data Science Data Science Tools - Liberty Mutual
Data Scientist
Lead the Data Science Tools team to enhance end‑to‑end modeling workflows, leveraging Python, SQL, and cloud services to build scalable, reproducible data science pipelines.
About the role
Key Responsibilities
- Architect and maintain robust data science tooling, including model training, deployment, and monitoring pipelines.
- Collaborate with data scientists and engineers to optimize data ingestion, feature engineering, and model validation processes.
- Implement scalable solutions on AWS, utilizing services such as S3, SageMaker, and Lambda.
- Ensure reproducibility and version control of models and code using Git, Docker, and CI/CD pipelines.
- Provide technical mentorship and guidance to junior team members.
Requirements
- 5+ years of experience in data science or data engineering roles.
- Proficiency in Python, SQL, and machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
- Hands‑on experience with AWS services and containerization (Docker).
- Strong understanding of data pipeline architecture and best practices.
- Excellent communication skills and a collaborative mindset.
Skills
pythonsqlmachine learningawsdocker