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Full Time Disney Data Science Jobs (NOW HIRING)

The Walt Disney Company

Sr Data Engineer

New York, NY

$125K - $150K/yr

Additionally, itis responsible forthe data engineering, science, and products for Disney ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY ...

The Walt Disney Company

Data Analyst

New York, NY

$97K - $130K/yr

... scientists, and more - all working to build and advance the technological backbone for Disney ... Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State ...

The Walt Disney Company

Sr Data Engineer

Bristol, CT

$114K - $137K/yr

Additionally, itis responsible forthe data engineering, science, and products for Disney ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY ...

The Walt Disney Company

Data Analyst

Glendale, CA

$97K - $130K/yr

... scientists, and more - all working to build and advance the technological backbone for Disney ... Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State ...

BranchLab

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

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 ...

College Board

Data Scientist, Data Science Team

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

Paylocity

Manager Data Science

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

The Walt Disney Company

Sr Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... scientists, and more - all working to build and advance the technological backbone for Disney ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco ...

The Walt Disney Company

Sr Data Engineer

Glendale, CA

$121K - $145K/yr

... scientists, and more - all working to build and advance the technological backbone for Disney ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA ...

The Walt Disney Company

Sr Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... scientists, and more - all working to build and advance the technological backbone for Disney ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco ...

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All JobsFull Time Disney Data Science Jobs

Full Time Disney Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 9, 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:
Full Time Disney Data Science jobs near you
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Posted 18 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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