
10,000+ employees
Founded 1923
📱 Media
💰 Post-IPO Debt on 2020-04
Media • Entertainment
The Walt Disney Company is a global entertainment company known for its iconic storytelling, characters, and experiences across various platforms and devices. With a focus on delivering memorable experiences to guests worldwide, Disney operates through its iconic theme parks, media networks, and film studios. It is committed to respecting privacy and providing transparency in its data collection and usage processes. The company also ensures compliance with various privacy laws and offers options for consumers to manage their privacy settings. Disney's dedication spans across film, television, and interactive media, making it a leader in the media and entertainment industry.
🕒 April 4
🏢🏡 San Francisco – Hybrid
💵 $155.7k - $228.6k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1923
📱 Media
💰 Post-IPO Debt on 2020-04
Media • Entertainment
The Walt Disney Company is a global entertainment company known for its iconic storytelling, characters, and experiences across various platforms and devices. With a focus on delivering memorable experiences to guests worldwide, Disney operates through its iconic theme parks, media networks, and film studios. It is committed to respecting privacy and providing transparency in its data collection and usage processes. The company also ensures compliance with various privacy laws and offers options for consumers to manage their privacy settings. Disney's dedication spans across film, television, and interactive media, making it a leader in the media and entertainment industry.
• Provide technical leadership for the data science team, • Identify, analyze, and deliver insights for ESPN personalization, • Design and analyze large-scale A/B and multivariate experiments, • Lead the design of automated dashboards and data pipelines, • Own end-to-end delivery of complex data science initiatives
• 7+ years of experience in Data Science, Machine Learning, Statistics, or a related field, • Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field or equivalent industry experience, • Proven track record of delivering high-quality experimentation analyses and actionable insights, • Deep expertise in statistical testing, causal inference, and experiment design, • Strong proficiency in Python, SQL, and modern ML/statistics libraries, • Experience working with large-scale datasets in distributed computing environments, • Strong familiarity with data engineering best practices, • Demonstrated success with dashboarding tools and crafting data stories for stakeholders, • Experience applying automation and AI-driven tools to streamline workflows, • Exceptional communication skills, • Ability to lead projects with high ambiguity and cross-functional complexity.
• A bonus and/or long-term incentive units may be provided as part of the compensation package, • Full range of medical, financial, and/or other benefits
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