disney
Principal Data Scientist - Games
At a Glance
- Location
- Glendale, California, United States
- Work Regime
- onsite
- Employment
- Full time
- Experience
- 10+ years
- Compensation
- s position in Glendale, CA is $155,700 to $208,700 per year. The base pay actual
- Posted
- 2026-07-28
Key Requirements
Required Skills
Domain Knowledge
- Finance
- Medical
Requirements
10+ years of experience in data science, advanced analytics, or quantitative product analytics, within gaming, streaming, or entertainment industries.
Proven experience applying statistical analysis, forecasting, experimentation frameworks, and behavioral analytics techniques to large-scale consumer and telemetry datasets.
Strong proficiency in SQL and Python or R, with hands-on experience working within modern cloud data ecosystems and analytics platforms such as Snowflake, Databricks, AWS, Tableau, and Looker.
Experience working with large-scale event-stream and gameplay telemetry datasets, including player behavior, audience engagement, content performance, progression systems, retention, and monetization analysis.
Familiarity with audience segmentation, personalization strategies, recommendation systems, or content optimization frameworks that support player engagement.
Strong understanding of player or consumer lifecycle analytics, engagement measurement, retention analysis, segmentation, monetization optimization, and experimentation methodologies including A/B testing.
Responsibilities
Serve as the primary games data science and analytics lead for Disney Digital Entertainment, acting as the central source of truth for games product performance, player behavior, and business insights
Partner closely with leadership, cross-functional leads, and cross-enterprise teams to delivering actionable insights and strategic recommendations that inform critical business and product decisions.
Develop and deliver data-driven business and product performance analyses for senior leadership by synthesizing complex data into clear narratives, executive-level presentations, and strategy recommendations.
Develop and apply advanced analytical frameworks, statistical analyses, forecasting models, and behavioral segmentation approaches focused on player engagement, retention, churn, monetization, lifecycle behavior, and content performance.
Analyze gameplay telemetry, social engagement data, creator content trends, and streaming interaction data, and cross-TWDC engagement signals to identify growth opportunities and optimize user experiences across games and digital entertainment ecosystems.
Partner closely with cross-functional teams and leadership to define KPIs, measurement frameworks, instrumentation requirements, and scalable analytics solutions that support product development and strategic planning.