Manager Data Science

Company: Disney Direct to Consumer
Location: New York
Posted on: November 12, 2024

Job Description:

About The RoleThe 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+. - 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. - -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. -ResponsibilitiesLead Machine Learning Initiatives

• Design, build, and optimize machine learning models that optimize commerce payment products. -
• Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production. -
• Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics. -Data Exploration & Insights
  • Dive deep into subscriber and payment data to uncover patterns and opportunities for growth and retention strategies. -
  • Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions. -Data Storytelling
    • Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders. -
    • Drive data-informed decision-making by presenting findings that highlight business implications. -Strategic Collaboration & Leadership
      • Build and foster strong relationships with business partners across commerce, growth, marketing, and engineering. -
      • Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities. -
      • Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.Basic Qualifications
        • Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study -
        • Proven track record of working with programming languages (e.g., Python, Spark, PySpark) and SQL -
        • Expertise in ML libraries such as scikit-learn, SciPy, and related technologies. -
        • Experience with modern data platforms and tools (e.g., Databricks, Jupyter, Snowflake, Airflow, GitHub). -
        • Advanced statistical knowledge and excellent problem-solving skills, with a proven ability to translate data into actionable insights. -
        • 8+ years of experience in building, deploying, and evaluating real-world machine learning solutions. -
        • 2+ years of leadership experience -Preferred Qualifications
          • M.S. and/or Ph.D. in a quantitative discipline. -
          • Experience working in subscription-based or streaming media businesses.Additional Information#DISNEYTECH
            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.

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