The Commerce Data Science team at Disney Streaming seeks an experienced Manager to lead data scientists in developing and deploying machine learning models for subscription and monetization across Disney+, Hulu, and ESPN+. Responsibilities include designing and optimizing ML models for commerce payment products, managing the ML lifecycle (data collection to production), collaborating with engineers for deployment and A/B testing, conducting data exploration and analysis to identify growth opportunities, translating complex data into actionable insights, and building strong relationships with cross-functional teams.  The role requires leading a team, mentoring data scientists, and driving data-informed decision-making across the business.

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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 <h4>Job Summary:</h4> 
 <div class="additional-field-value-razor"><div><div><h2>About The Role</h2>The Commerce Data Science team at Disney Streaming develops Machine learning solutions to drive subscription and monetization across our streaming platforms, including Disney+, Hulu and ESPN+.&nbsp; Data scientists are integral to Disney’s success, partnering with cross-functional teams (growth, content, marketing, product, and engineering) to provide ML solutions that shape the experience of millions of users worldwide.&nbsp;&nbsp;We're seeking an experienced Manager of Data Science to lead data scientists focused on developing and deploying machine learning models that address business-critical challenges. In this role, you’ll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the customer journey and drive the business forward.&nbsp;<h2>Responsibilities</h2>Lead Machine Learning Initiatives<ul><li>Design, build, and optimize machine learning models that optimize commerce payment products.&nbsp;</li><li>Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.&nbsp;</li><li>Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics.&nbsp;</li></ul>Data Exploration &amp; Insights<ul><li>Dive deep into subscriber and payment data to uncover patterns and opportunities for growth and retention strategies.&nbsp;</li><li>Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.&nbsp;</li></ul>Data Storytelling<ul><li>Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.&nbsp;</li><li>Drive data-informed decision-making by presenting findings that highlight business implications.&nbsp;</li></ul>Strategic Collaboration &amp; Leadership<ul><li>Build and foster strong relationships with business partners across commerce, growth, marketing, and engineering.&nbsp;</li><li>Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.&nbsp;</li><li>Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.</li></ul><h2>Basic Qualifications</h2><ul><li>Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study&nbsp;</li><li>Proven track record of working with programming languages (e.g., Python, Spark, PySpark) and SQL&nbsp;</li><li>Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.&nbsp;</li><li>Experience with modern data platforms and tools (e.g., Databricks, Jupyter, Snowflake, Airflow, GitHub).&nbsp;</li><li>Advanced statistical knowledge and excellent problem-solving skills, with a proven ability to translate data into actionable insights.&nbsp;</li><li>8+ years of experience in building, deploying, and evaluating real-world machine learning solutions.&nbsp;</li><li>2+ years of leadership experience&nbsp;</li></ul><h1></h1><h2>Preferred Qualifications</h2><ul><li>M.S. and/or Ph.D. in a quantitative discipline.&nbsp;</li><li>Experience working in subscription-based or streaming media businesses.</li></ul><h2></h2><h2>Additional Information</h2>#DISNEYTECH</div></div> The hiring range for this position in New York City area is $175,800-235,700 per year, in Los Angeles, CA area is $167,700-$224,900 and in San Francisco Bay Area is $183,700,600-$246,400 per year. 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.</div>
 
 
 
 
 
 
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Manager, Data Science - Commerce