Director, Graph & Insights Data Science

TelevisaUnivision; Miami (FL); On-site; USD 180,000 - 280,000; Full time

Job summary

TelevisaUnivision is seeking a Director of Data Science, Graph and Insights to lead the strategy and evolution of our household and identity graph capabilities. You will mentor a team of data scientists, set technical direction, and drive data-driven decision making across Product, Engineering, Marketing, Research, and Ad Sales.

The role combines strategy with hands-on technical leadership, focusing on scalable data science solutions, identity resolution, and integrating first- and third-party

Qualifications

• 8+ years of experience in Data Science, Applied Statistics, Machine Learning, or a related quantitative field.
• 3+ years of experience leading, managing, mentoring, and developing technical teams.
• Demonstrated experience leading large-scale data science initiatives from concept through production.

Responsibilities

• Lead vision, roadmap, and execution strategy for household and identity graph capabilities.
• Coach and develop a high-performing data science team.
• Define technical direction for graph science, identity resolution, and ML initiatives.
• Improve graph assets and data sources to strengthen business value.
• Apply advanced statistical techniques and ML to improve graph accuracy and audience insights.
• Partner with Product, Engineering, Marketing, Research, and Ad Sales to align priorities.

Education

Bachelor's degree in Computer Science

Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative discipline

Tools

BigQuery

Snowflake

Job description

TelevisaUnivision is seeking a Director of Data Science, Graph and Insights to lead the strategy and evolution of our household and identity graph capabilities. You will mentor a team of data scientists, set technical direction, and drive data-driven decision making across Product, Engineering, Marketing, Research, and Ad Sales.

The role combines strategy with hands-on technical leadership, focusing on scalable data science solutions, identity resolution, and integrating first- and third-party