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Principal Data Scientist - Games

Disney Experiences Glendale, CA

Glendale, CA

Today

$156k - $209k/yr Full time Analytics Big Data Business Analytics

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Job Description

Disney Experiences is seeking a Principal Data Scientist to lead games data science and analytics for Disney Digital Entertainment in partnership with Epic Games.

Responsibilities

Act as the primary lead for games data science and analytics, serving as a central source of truth for games product performance, player behavior, and business insights
Partner with leadership and cross-functional teams to deliver actionable insights and strategic recommendations for critical business and product decisions
Create and present data-driven business and product performance analyses for senior leadership, translating complex data into clear narratives, executive decks, and strategy recommendations
Build and apply advanced analytical frameworks, statistical analyses, forecasting models, and behavioral segmentation approaches focused on engagement, retention, churn, monetization, lifecycle behavior, and content performance
Analyze gameplay telemetry, social engagement data, creator content trends, streaming interaction data, and cross-TWDC engagement signals to identify growth opportunities and improve user experiences across games and digital entertainment ecosystems
Work with cross-functional partners to define KPIs, measurement frameworks, instrumentation requirements, and scalable analytics solutions for product development and strategic planning
Lead deep-dive analyses on player progression systems, engagement funnels, franchise affinity, personalization opportunities, social behaviors, and monetization trends to inform data-driven product strategy
Collaborate with data engineering and platform teams to develop scalable analytics infrastructure, event pipelines, trusted datasets, and self-service reporting solutions
Serve as a subject matter expert in games analytics, measurement strategy, and product performance insights, and drive organizational best practices
Translate technical findings into clear recommendations for both technical and non-technical audiences, including senior leadership

Requirements

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field; advanced degree preferred
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, plus hands-on experience with modern cloud data ecosystems and analytics platforms including Snowflake, Databricks, AWS, Tableau, and Looker
Experience 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 supporting player engagement
Strong understanding of player or consumer lifecycle analytics, engagement measurement, retention analysis, segmentation, monetization optimization, and experimentation methodologies including A/B testing
Demonstrated ability to influence strategic decisions through data-driven storytelling, executive communication, and cross-functional collaboration in fast-paced, matrixed organizations

Technologies

SQL
Python
R
Snowflake
Databricks
AWS
Tableau
Looker
A/B testing

Location

Glendale, CA (onsite)

Compensation

Hiring range in Glendale, CA: $155,700 to $208,700 per year
Base pay offered may consider internal equity, candidate geographic region, job-related knowledge, skills, and experience, among other factors
Bonus and/or long-term incentive units may be provided, in addition to medical, financial, and/or other benefits depending on level and position offered

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