Senior Director, Modeling Data Pipelines & Feature Store

Liberty Mutual Group; Seattle (WA); Presencial; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive benefits

Flexible workplace

Professional development

Employee Resource Groups

Descripción de la vacante

Liberty Mutual Group in Seattle seeks a Senior Data Science Lead to direct end-to-end data pipelines and feature store initiatives. You will align USDS, data science, and deployment teams to deliver scalable modeling data to data scientists, driving speed and quality across projects.

The role requires 8+ years of leadership in data science or MLOps, with hands-on experience in dbt, Snowflake, and Databricks, and the ability to communicate with both technical and business stakeholders.

Formación

• Advanced degree in Statistics, Mathematics, Data Science, CS, or related field.
• Typically 8+ years of relevant experience with leadership in data science or MLOps.
• Experience sourcing and governing data from enterprise warehouses and external vendors.
• Ability to partner with stakeholders and communicate across technical and non-technical audiences.

Responsabilidades

• Lead the development and delivery of end-to-end data pipelines and feature store capabilities.
• Provide strategic direction for USDS, data science, and deployment teams.
• Oversee a team of data analysts, MLOps specialists, and subject matter experts.
• Promote modern data lifecycle, from ingestion to model deployment, with scalable architectures.
• Collaborate to design feature store strategies and AI solutions to speed model building.

Conocimientos

Data science leadership

MLOps & analytics

Stakeholder communication

Data modeling & pipelines

Educación

Advanced degree in Statistics, Mathematics, Data Science, CS, or related field

Herramientas

dbt

Snowflake

Databricks

Descripción del empleo

Liberty Mutual Group in Seattle seeks a Senior Data Science Lead to direct end-to-end data pipelines and feature store initiatives. You will align USDS, data science, and deployment teams to deliver scalable modeling data to data scientists, driving speed and quality across projects.

The role requires 8+ years of leadership in data science or MLOps, with hands-on experience in dbt, Snowflake, and Databricks, and the ability to communicate with both technical and business stakeholders.