Director of Data Science / Hybrid in Los Angeles

Seeking a Director of Data Science to lead and scale its data strategy, engineering, and analytics capabilities. This role will drive data-driven decision-making, optimize business operations through machine learning (ML), and enhance data infrastructure to support company-wide initiatives. Key Responsibilities:

• 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.

Requirements:

• 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).