Principal Data Scientist, Games

The Walt Disney Company

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Glendale, CA
Salary
$158,100–$211,900 / yr
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live yesterday
Closes
Nov 7, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $185k
$124k $236k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $149,142–$214,500 — the blue band above. At the midpoint, this role pays about $185k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 80 open roles on FindRole.

Listed pay typically runs $150,900–$202,400 across 80 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Principal Data Scientist, Games

The Principal Data Scientist - Games will join the Disney Games & Digital Entertainment team as a key individual contributor. This role involves driving advanced analytics, predictive modeling, and experimentation for a new digital universe connected to Fortnite. You will build scalable data science capabilities, experimentation frameworks, dashboards, and behavioral analytics solutions to optimize player engagement and monetization. Key responsibilities include developing forecasting models, behavioral segmentation, and analyzing gameplay telemetry, social engagement, and creator content trends. You must demonstrate proficiency in SQL, Python, or R, along with experience in Snowflake, Databricks, AWS, Tableau, and Looker. The role requires applying statistical analysis to large-scale event-stream datasets to solve complex problems regarding player progression, retention, churn, and content performance within a gaming and entertainment ecosystem.

What does a Data Scientist earn in California?

Median $214500 from 117 postings across 27 companies.

See salary data

What you'll do

  • Serve as the primary lead for games data science and analytics for Disney Digital Entertainment.
  • Develop advanced analytical frameworks, forecasting models, and behavioral segmentation for player engagement and monetization.
  • Analyze gameplay telemetry, social engagement, and creator content trends to identify growth opportunities.
  • Define KPIs, measurement frameworks, and instrumentation requirements to support product development and strategic planning.
  • Lead deep-dive analyses on player progression systems, engagement funnels, and franchise affinity.
  • Collaborate with data engineering to build scalable analytics infrastructure, event pipelines, and self-service reporting solutions.
  • Translate complex analytical findings into clear narratives and strategic recommendations for senior leadership.

What we're looking for

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
  • Advanced degree in a quantitative field (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 to large-scale consumer and telemetry datasets.
  • Strong proficiency in SQL and Python or R.
  • Hands-on experience with cloud data ecosystems and platforms such as Snowflake, Databricks, AWS, Tableau, and Looker.
  • Experience working with large-scale event-stream and gameplay telemetry datasets including player behavior, engagement, and monetization analysis.
  • Familiarity with audience segmentation, personalization strategies, recommendation systems, or content optimization frameworks (preferred).

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