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Full Time Disney Data Science Jobs (NOW HIRING)

YO AI Labs

Data Scientist

Glendale, CA

Glendale, USA * Job Type: Full-time Must Haves: * Python Machine Learning, data science, AWS ... Develop experimentation and causal inference tools and frameworks that can scale across Disney ...

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Full Time Disney Data Science information

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$122.7K

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How much do full time disney data science jobs pay per year?

As of Jul 20, 2026, the average yearly pay for full time disney data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some typical projects a Full Time Disney Data Science professional might work on, and how do these projects impact business decisions?

As a Full Time Disney Data Science professional, you may work on projects such as audience segmentation, recommendation algorithms for Disney+ content, or predictive models for theme park attendance. These projects usually involve collaborating with product teams, marketing, and operations to analyze large datasets and uncover actionable insights. Your work directly influences strategic business decisions, such as improving guest experiences, optimizing content delivery, and increasing operational efficiency across Disney's diverse business units.

What does a Full Time Disney Data Science professional do?

A Full Time Disney Data Science professional analyzes large sets of data to help Disney make informed business decisions. They use statistical methods, machine learning, and data visualization to uncover patterns, predict trends, and solve problems related to content, audience engagement, and operations. Their work supports various departments, including marketing, streaming services, park operations, and more, to enhance customer experiences and drive growth. They collaborate with engineers, business leaders, and creatives to translate data insights into actionable strategies.

What is the difference between Full Time Disney Data Science vs Full Time Disney Data Analyst?

AspectFull Time Disney Data ScienceFull Time Disney Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Business, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams focused on predictive modeling, algorithm development, and complex data analysisBusiness-focused environment analyzing data trends, generating reports, and supporting decision-making
Employer & Industry UsageUsed across Disney departments for advanced analytics and AI projectsUsed for reporting, dashboards, and operational insights within Disney

Full Time Disney Data Science roles typically require advanced technical skills and focus on developing models and algorithms, while Data Analyst positions emphasize data reporting and business insights. Both roles are integral to Disney's data-driven strategies but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as a Full Time Disney Data Scientist, and why are they important?

To thrive as a Full Time Disney Data Scientist, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or data science. Expertise in programming languages like Python or R, experience with machine learning frameworks, and familiarity with data visualization tools and big data platforms are typically required. Excellent communication, creative problem-solving, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are critical to generating valuable insights that drive strategic decisions and enhance Disney's entertainment experiences.
What cities are hiring for Full Time Disney Data Science jobs? Cities with the most Full Time Disney Data Science job openings:
What are the most commonly searched types of Disney Data Science jobs? The most popular types of Disney Data Science jobs are:
What states have the most Full Time Disney Data Science jobs? States with the most job openings for Full Time Disney Data Science jobs include:
What job categories do people searching Full Time Disney Data Science jobs look for? The top searched job categories for Full Time Disney Data Science jobs are:
Full Time Disney Data Science jobs near you
Infographic showing various Full Time Disney Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Analyst

Senior Data Analyst

The Walt Disney Company

Santa Monica, CA

$123K - $165K/yr

Full-time

Posted 4 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 50 rated entertainment

Job description

Job Posting Title:

Senior Data Analyst

Req ID:

10154789

Job Description:

The Subscriber Lifecycle & Commerce Analytics team is looking for a Senior Data Analyst who will help to measure, understand, and take action to improve our purchasing and payment experience. Our team masters exploratory data analysis, advanced reporting, data visualization, and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective experiments around payment processing, fraud prevention, and other commerce domains.

Responsibilities

  • Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics, determining required sample sizes, and validating randomization.
  • Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, and identify ways to maximize subscriber retention.
  • Create and maintain operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools.
  • Translate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations.
  • Partner with Analytics Engineering, Data Engineering, and Data Science teams to build full pipelines on complex transactional data that simplify and clarify these domains for business users and enable advanced modeling and AI uses.

Required Qualifications

  • Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or other quantitative or scientific field.
  • 5+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making.
  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.
  • Strong foundational knowledge of applied statistics, causal inference, and experimentation mechanics in technology products.
  • Strong proficiency in SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.
  • Expertise with data exploration and data visualization tools like Looker and Tableau.
  • Strong technical analysis skills to investigate issues, analyze causes, quickly develop possible solutions, document changes, and communicate organizational impact.
  • Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).

Desired Qualifications

  • Experience with Python and/or R for statistical analysis and model building.
  • Experience with global billing, payment processing, and/or fraud prevention.
  • Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product
The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York, NY is $123,000 to $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Analytics and Data Science

Job Posting Primary Business:

DTC Data Science

Primary Job Posting Category:

Tech Data Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - NY - 7 Hudson Square

Date Posted:

2026-07-15

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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