Hybrid Executive Director, Data Science

at The Walt Disney Company

• Job title: Executive Director, Data Science
• Job type: Full Time
• Experience level: Lead
• Salary: $263,900 - $353,900 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Spark
• Location requirements: Hybrid, New York City, United States

About the role

• Exec Director leading Data Science for Disney's streaming services, developing predictive machine learning models. Collaborating across business units to drive analytics and data science initiatives.

Responsibilities

• Build and lead a team of Data Scientists that inform, influence, and support business priorities across projects and platforms using data to validate hypotheses and provide effectiveness/efficiency solutions.
• Manage the execution of the project roadmap, ensuring project delivery is in-line with business objectives and key results.
• Approach model and project development from a client-focused process including needs assessment, requirements gathering, prototyping, UAT and partner engagement.
• Proactively identify opportunities that can benefit from data science modeling and AI applications and manage the execution and implementation for impact.
• Work effectively across multiple business units with numerous stakeholders to deliver advanced analytics and modeling solutions.
• Foster a culture of collaboration by developing cross functional partnerships with business units to ensure impactful, positive business outcomes are prioritized.
• Function as an expert and collaborate with the team to assess how models and methods can be adjusted for better predictive power and accuracy.
• Lead the development of our predictive algorithms and machine learning applications across different areas with the aim of helping our stakeholders execute better, smarter and faster.
• Design and implement scalable frameworks for Next Best Action/Offer (NBA/NBO) decisioning, connecting propensity scores to optimal customer interventions.
• Continuously improve existing and architect and prototype new models, working with data science and cross-functional engineering teams to operationalize models into production.

Requirements

• Bachelor’s degree in advanced mathematics, Statistics, Data Science or comparable field of study
• 12+ years of related professional experience
• Demonstrated financial impact via data science applications.
• Deep knowledge of machine learning algorithms and advanced statistics, specifically time series forecasting, probabilistic models, and decisioning/optimization algorithms.
• Experience with statistical / ML platforms and modern data ecosystems (e.g., Python, R, Databricks, Spark, PyTorch).
• Experience with forecasting business metrics, leading indicators and feature importance.
• Experience making complex and broad predictions based on a vast amount of past and/or present data through the development of statistical and/or machine learning models.
• Strong analytical and problem-solving skills to interpret data and draw conclusions.
• Outstanding business acumen, collaborative approach and client orientation in addition to strong technical skills.
• Strong ability to simplify complex analytics into understandable stories and clear recommendations that are easily understood and executable.

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package
• full range of medical, financial, and/or other benefits