Exec Director, Data Science

Disney Streaming

New York, NY, USA
New york: $263,900 - $353,900; santa monica: $251,...
Develop and implement predictive machine learning models
Propensity models, time series forecasting
Next best offer/action decisioning logic
Seek a senior leader to provide technical and execution-focused leadership to the Data Science team within DnA in the development of complex models that support business needs for Disney Streaming

Job Summary

  • Seek a senior leader to provide technical and execution-focused leadership to the Data Science team within DnA in the development of complex models that support business needs for Disney Streaming.
  • Responsibilities include the development and implementation of predictive machine learning and AI models, specifically focusing on propensity models, time series forecasting, and next best offer/action decisioning logic.
  • The hiring range for this position in New York is $263,900 - $353,900 per year, in Santa Monica is $251,900 - $337,800 per year and in San Francisco is $275,900 - $370,000 per year.

Matching Summary

Seek a senior leader to provide technical and execution-focused leadership to the Data Science team within DnA in the development of complex models that support business needs for Disney Streaming.

Salary

New York: $263,900 - $353,900; Santa Monica: $251,900 - $337,800; San Francisco: $275,900 - $370,000; Bonus and/or long-term incentive units may be provided

Skills & Requirements

Must-have

  • Develop and implement predictive machine learning models
  • Propensity models, time series forecasting
  • Next best offer/action decisioning logic
  • Lead and build a team of Data Scientists
  • Client-focused process including needs assessment
  • Scalable frameworks for Next Best Action/Offer

Nice-to-have

  • Foster a culture of collaboration
  • Outstanding interpersonal skills
  • Simplify complex analytics into understandable stories
  • Experience in media and entertainment

Key Requirements

  • Bachelor’s degree in advanced mathematics, Statistics, Data Science or comparable field
  • 12+ years of related professional experience
  • Demonstrated financial impact via data science applications
  • Deep knowledge of machine learning algorithms and advanced statistics
  • Experience with statistical / ML platforms and modern data ecosystems
  • Experience with forecasting business metrics
  • Graduate degree preferred

Work Rights

Not specified

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