Lead Data Scientist

5 Hours ago • 7 Years +

About the job

SummaryBy Outscal

Must have:
  • Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience
  • 7+ years related experience with developing machine learning models and conducting statistical analysis
  • Deep understanding of machine learning concepts and statistical methods
  • Ability to draw insights and conclusions from data to inform model development and business decisions
  • Desire to collaborate with other data scientists, data analysts, and key business partners
  • Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)
  • Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)
  • Understanding of SQL and distributed data technologies (Hive, Spark)
Good to have:
  • MS or PhD in Computer Science, Engineering, Statistics, Economics,Physicsor related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
  • Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan,PyMC
  • Experience fully integrating data science solutions into the business and operationalizing ML models
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Job Summary:

About Direct To Consumer (DTC)

Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.  

The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you! 

What You'll Do

  • Modeling: Apply state of the art machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization. 

  • Deep analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content. 

  • Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually. 

  • Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. 

What To Bring

  • Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience 

  • 7+ years related experience with developing machine learning models and conducting statistical analysis

  • Deep understanding of machine learning concepts and statistical methods

  • Ability to draw insights and conclusions from data to inform model development and business decisions

  • Desire to collaborate with other data scientists, data analysts, and key business partners

  • Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)

  • Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)

  • Understanding of SQL and distributed data technologies (Hive, Spark) 

Nice To Haves

  • MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)

  • Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC 

  • Experience fully integrating data science solutions into the business and operationalizing ML models 

Additional Information

#DISNEYTECH

 


The hiring range for this position in the Los Angeles, CA area is $149,300-$200,200. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
View Full Job Description
$149.3K - $200.2K/yr (Outscal est.)
$174.8K/yr avg.
Glendale, California, United States

About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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