ZipRecruiter

Log In

2

Full Time Disney Data Science Jobs in Florida (NOW HIRING)

CACI

Data Scientist

Tampa, FL · On-site

Data Scientist Job Category ... Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ...

The Walt Disney Company

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

... My Disney Experience and Hey, Disney! This role sits within theData Products ... Bachelor's degree inComputer Science, Information Systems, Software, Electrical or Electronics ...

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

SAIC

Data Scientist

Tampa, FL

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE ...

ManTech International

Senior Data Scientist

Doral, FL · On-site

Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field Minimum Qualifications: * Four ...

Altamira Technologies Corp.

Data Scientist

Tampa, FL · On-site

... science methods to real-world data problems. * TS/SCI clearance is preferred * Minimum SECRET Clearance to start with the willingness and ability to obtain TS/SCI. Employment Type: Full Time

AIS, Inc.

Data Scientist

Miami, FL · On-site

This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits. Minimum Qualifications: * Master's degree in data science, computer ...

Prescient Edge

Data Scientist

Doral, FL · On-site

Job Title Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required None ...

The Walt Disney Company

Sr Product Mgr

Orlando, FL

$148K - $199K/yr

The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest ... Experience with data, data science, analytics, and business intelligence. * Master's degree in a ...

ManTech International

Data Scientist

Tampa, FL · On-site

... Type Full time Description & Requirements Elevate your career with MANTECH International ... Master's degree in Data Science, Applied Mathematics, Statistics, Physics, or Computer Science.

Access Medical Labs

Data Scientist

North Palm Beach, FL · On-site

Full-Time/Part-Time Full-Time Description Job Summary: Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join our Digital Transformation team. Reporting to ...

The Walt Disney Company

Lead Data Architect

Orlando, FL

$155K - $208K/yr

The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was ... Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics ...

previous pagenext page

Showing results 21-40

All JobsDisney Data Science JobsFull Time Disney Data Science JobsFull Time Disney Data Science Jobs in Florida

Full Time Disney Data Science information

What does a full time Disney data scientist 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 are the key skills and qualifications needed to thrive as a full time Disney data scientist?

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 are some typical projects a full time Disney data scientist 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 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 most commonly searched types of Disney Data Science jobs in Florida?

The most popular types of Disney Data Science jobs in Florida are:

What are popular job titles related to Full Time Disney Data Science jobs in Florida?

For Full Time Disney Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Full Time Disney Data Science jobs in Florida look for?

The top searched job categories for Full Time Disney Data Science jobs in Florida are:

Full Time Disney Data Science jobs near you
Infographic showing various Full Time Disney Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

CACI International, Inc.

Tampa, FL • On-site

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Scientist
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis.
The Opportunity
Join a team dedicated to advancing national security through data-driven insights, advanced analytics, and innovative technology. CACI is seeking Data Scientists at the Journeyman and Senior levels to support a mission-focused program delivering analytical, advisory, and operational capabilities across geographic and functional Combatant Commands.
In this role, you will apply data science, statistical analysis, automation, and emerging technologies to complex operational challenges within the information environment and irregular warfare (IW) mission space. You will work with diverse datasets to identify trends, develop analytical models, measure operational effects, and transform complex information into actionable insights for mission partners and senior decision-makers.
This is an opportunity to combine technical data science expertise with real-world national security missions, working alongside intelligence, operations, research, and technology professionals to help address evolving global threats.
Responsibilities
  • Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making.
  • Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis.
  • Apply statistical and quantitative techniques including regression, hypothesis testing, sampling, longitudinal analysis, network analysis, modeling, and reliability/validity assessment.
  • Develop prototypes, scripts, and analytical tools that improve data collection, processing, integration, visualization, and synthesis.
  • Apply AI/ML and Natural Language Processing (NLP) techniques to structured and unstructured data, including text, survey responses, social media, and operational reporting.
  • Conduct qualitative and mixed-methods analysis using techniques such as thematic coding, classification, sentiment analysis, and NLP-assisted analysis.
  • Develop dashboards, visualizations, and analytical products that communicate complex findings to operational leaders and mission stakeholders.
  • Integrate analytical findings with intelligence and operational reporting to establish baselines, measure effects, identify emerging trends, and assess OIE/IW activities.
  • Manage and optimize analytical datasets, databases, metadata, and longitudinal data to support repeatable analysis and research.
  • Apply geospatial analysis and visualization techniques to assess information environment dynamics, geographic patterns, and audience characteristics.
  • Leverage social media and publicly available data using automated collection, analytics, AI/ML, and NLP techniques to evaluate reach, behavior, trends, and operational effects.
  • Support research and assessment design by developing analytical methodologies, data collection strategies, assessment criteria, and measures of performance and effectiveness.
  • Collaborate with multidisciplinary teams across intelligence, operations, technology, and research functions to translate mission requirements into data-driven analytical solutions.

Required Qualifications
  • Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, Economics, or another quantitative or analytical discipline.
  • TS/SCI clearance
  • 3+ years relevant professional experience conducting quantitative, qualitative, statistical, or data science analysis in operational, intelligence, research, or similarly complex environments. Level will be determined based on education, experience, and demonstrated technical expertise.
  • Proficiency with Python and/or R for statistical analysis, data processing, automation, modeling, or analytical tool development.
  • Experience applying statistical or data science methodologies such as regression, hypothesis testing, sampling, longitudinal analysis, clustering, classification, or predictive modeling.
  • Experience working with structured, semi-structured, and/or unstructured datasets.
  • Experience developing data visualizations, dashboards, or analytical products that translate complex findings into actionable insights.
  • Experience with data management practices, including maintaining analytical datasets, databases, metadata, or longitudinal data.
  • Ability to integrate quantitative findings with operational, intelligence, research, or assessment information.
  • Strong analytical and problem-solving skills with the ability to communicate technical findings to both technical and non-technical audiences.
  • Ability to obtain a DoD 8570/8140 IAT Level II certification within 90 days of hire, if required by the position.

Desired Qualifications
  • Prior experience supporting DoD, Intelligence Community (IC), Combatant Command (COCOM), or other national security missions.
  • Experience supporting Operations in the Information Environment (OIE), Irregular Warfare (IW), information operations, intelligence, or operational assessment missions.
  • Experience developing or applying machine learning models, NLP pipelines, generative AI, or other advanced analytics capabilities.
  • Experience with automated data collection, web scraping, APIs, or social media analytics.
  • Experience with geospatial analysis tools and technologies such as ArcGIS, QGIS, GeoPandas, or other Python geospatial libraries.
  • Experience with data visualization or business intelligence platforms such as Tableau, Power BI, Plotly, or similar tools.
  • Familiarity with operational assessment frameworks, including Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Measures of Effectiveness Indicators (MOEIs).
  • Experience with research design, experimental or quasi-experimental methods, survey analysis, or mixed-methods research.
  • Current Security+, CySA+, CCNA Security, or equivalent DoD 8570/8140 certification.
  • Experience operating in NIPR, SIPR, JWICS, or other classified environments.

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$82,100-$172,400
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Apply