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Fulltime 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 ...

Mayo Clinic

Data Science Analyst

Rochester, MN

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday 10%+ ... experience in data science will be considered. The preferred candidate will possess a Master ...

Mayo Clinic

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday 10%+ ... experience in data science will be considered. The preferred candidate will possess a Master ...

Mayo Clinic

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... Full Time Hours/Pay Period 80 Schedule Details Monday - Friday, Normal Business Hours 10%+ travel ... experience in data science will be considered. The preferred candidate will possess a Master ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... Full Time Hours/Pay Period 80 Schedule Details Monday - Friday, Normal Business Hours 10%+ travel ... experience in data science will be considered. The preferred candidate will possess a Master ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture ... a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in ...

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Showing results 21-40

All JobsFulltime Disney Data Science Jobs

Fulltime Disney Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do fulltime disney data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for fulltime 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 is the difference between Fulltime Disney Data Science vs Fulltime Disney Data Analyst?

AspectFulltime Disney Data ScienceFulltime Disney Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; experience with machine learning and statistical modelingDegree in Data Analysis, Statistics, or related field; proficiency in data visualization and reporting tools
Work EnvironmentCollaborative teams focused on predictive modeling, algorithm development, and advanced analyticsOperational teams analyzing data trends, generating reports, and supporting decision-making
Employer & Industry UsageUsed across Disney departments for innovative projects and product developmentUsed for business insights, marketing analysis, and operational improvements within Disney

Fulltime Disney Data Science roles focus on developing complex models and algorithms, requiring advanced technical skills. In contrast, Fulltime Disney Data Analysts primarily interpret data, create reports, and support strategic decisions. Both roles are essential but differ in technical depth and project scope.

What cities are hiring for Fulltime Disney Data Science jobs?

Cities with the most Fulltime Disney Data Science job openings:

What states have the most Fulltime Disney Data Science jobs?

States with the most job openings for Fulltime Disney Data Science jobs include:

What job categories do people searching Fulltime Disney Data Science jobs look for?

The top searched job categories for Fulltime Disney Data Science jobs are:

Fulltime Disney Data Science jobs near you
Infographic showing various Fulltime Disney Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

YO AI Labs

Glendale, CA

Full-time

Re-posted 15 days ago

Job description

Job Description

  • Job title: Data Scientist
  • Experience: 5-15 Years
  • Location: Glendale, USA
  • Job Type: Full-time


Must Haves:

  • Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL

Qualifications:

  • Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference.
  • Strong background in statistical modelling: regression, classification, time series forecasting, causal inference, and other techniques.
  • Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling.
  • Expertise in A/B test design, execution, statistical modeling, and sophisticated causal inference techniques.
  • Proficient in conducting sample size calculations, power analysis, and minimum detectable effect estimation.
  • Experience managing multiple testing scenarios and controlling false discovery rates.
  • Ability to deploy both Bayesian and frequentist statistical approaches.
  • Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches.
  • Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes
  • Advanced skills in Python and/or R-including development of statistical analysis packages, and use of ML frameworks (e.g., scikit-learn, LGBM).
  • Strong communication skills for translating complex data into actionable narratives and presenting confidently to technical and non-technical audiences, including senior executives.

Key Responsibilities:

  • Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations.
  • Advanced Statistical & Causal Inference: Apply deep knowledge of experimental design, regression, classification, causal inference and ensure proper assumptions.
  • Build Scalable Solutions: Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses.
  • Deliver Strategic Insights: Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations.
  • Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders.


Preferred Qualifications:

  • MS in computer science, statistics, math or a related quantitative field +5 years of relevant experience OR PhD + 3 years of relevant experience with an emphasis on experimentation or causal inference.
  • Experience with ETL and data engineering: data extraction, transformation, integration, and quality controls for analytics at scale.
  • Skilled in production deployment and monitoring of data science solutions, including CI/CD pipelines, automated reporting, and ongoing experiment/model monitoring.
  • Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github.
  • Strong strategic business insight, preferably in subscription-based business models, with ability to apply experimentation and analytics to market trends and consumer insights.
  • Proven track record of leadership and stakeholder/project management, including influencing cross-functional teams and delivering high-impact outcomes.
  • Adept at adapting quickly to shifting priorities in a fast-moving environment while maintaining quality.
  • Drive and maintain a culture of quality, innovation and experimentation.
  • Demonstrated experience mentoring colleagues on best practices and technical concepts for building large scale solutions.