Full Time Job

Senior Manager - Data Science, Personalization Insights


San Francisco, CA 10-16-2020
  • Paid
  • Full Time
  • Mid (2-5 years) Experience
Job Description

Comprised of Disney's international media businesses and the Company's various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company's global footprint and deliver world-class, personalized entertainment experiences to consumers around the world.

The Walt Disney Company's Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney's Studio Entertainment and Media Networks groups.

DTCI includes Disney's international media operations and the Company's direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company's ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment.

Data scientists on the Engagement Analytics team are key partners to the Disney+ product teams- conducting statistical analysis, building models, and surfacing insights that enable these teams to create a world-class SVOD experience. As Senior Manager of the Personalization Insights team, you will partner with the recommendation team to understand the efficacy of existing algorithms, provide guidance and subject matter expertise on novel approaches, and be a modeling and experimentation partner to improve customer engagement.

• Modeling & Analysis: Develop models & analyze behavioral data to identify patterns, uncover opportunities, and create common understanding of how customers are interacting with the platform and content.
• Metric Design: Design, analyze, and operationalize KPIs that link personalization to business goals in order to improve decision-making.
• Performance Reporting and Visualization: Be a partner for cross-functional stakeholders to understand how customers are interacting with the Disney+ product and how effective personalization is in driving meaningful engagement. When a metric is ahead or behind expectations, dig in to derive meaningful actionable insights.
• Experimentation: Establish best practices, propose/design experiments, and analyze data to understand the impact of personalization improvements.
• Partnership: Partner closely with business stakeholders and collaborate with other data teams to identify and creatively address needs and opportunities.
• Leadership & Mentoring: Recruit and mentor staff to build a world-class data team

Basic Qualifications:
• 2+ years leadership experience (includes people management, mentoring interns, technical leadership, and project management)
• Have a demonstrated history of translating complex data sets into clear and actionable narratives and communicate opportunities and challenges to stakeholders
• Experience and aptitude to deliver high-quality solutions on short timelines
• 5+ years of hands-on experience designing, building, and evaluating practical machine learning solutions to solve business problems
• 3+ years Python (or similar) and SQL
• Subject matter expertise and experience in applied statistics for analysis & experimentation (e.g. A/B, bandits).
• Strong communication skills, for both technical and non-technical audiences.
• Familiarity with data exploration and data visualization tools like Tableau or Looker preferred.

Required Education
• Advanced degree (PhD or MS) in an analytical field or equivalent experience

Company Profile

Disney Streaming Services is responsible for developing and operating The Walt Disney Company’s direct-to-consumer video businesses globally, including the ESPN+ and Disney+.

External Application Page

The application for this position is hosted at the Employer's site. Click on the button below to open the application page in a new tab in your browser.

Apply at Employer's Site