Director of Data Science / Hybrid in Los Angeles

Develop and execute a company-wide data strategy that enhances business intelligence and analytics.

Oversee data engineering operations, including pipeline development, ETL processes, and data governance.

Design and manage scalable cloud-based data infrastructure to support analytics and reporting.

Define data governance policies and best practices for data accessibility and compliance.

Lead machine learning and predictive analytics projects to optimize operations and improve decision-making.

Implement data visualization and reporting solutions to provide actionable insights.

Manage a lean, high-impact team, balancing strategic leadership with hands-on execution.

Work cross-functionally with executives and key stakeholders to align data initiatives with business needs.

Ensure data security, compliance, and scalability in enterprise-wide data solutions.

15+ years of experience in data science, engineering, and analytics within large-scale environments.

Expertise in data architecture, ETL pipelines, governance frameworks, and cloud computing.

Hands-on experience with machine learning models, predictive analytics, and automation.

Proficiency in data visualization, SQL-based databases, and cloud platforms.

Strong leadership experience in building and managing high-performing teams.

Proven ability to translate business challenges into data-driven solutions that drive efficiency and growth.

Background in data security, compliance, and governance best practices.

Bachelor’s or Master’s degree in a relevant technical field (Ph.D. preferred).