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Executive Disney Data Science Jobs (NOW HIRING)

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions. * Help execute the global data science ...

Athena LLC

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Athenago

Data Science Intern

Wilmington, DE · On-site

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Boot Barn

Director, Data Science

Irvine, CA

Partner with executive leadership and cross-functional stakeholders to translate business needs into scalable data science & AI solutions * Oversee the design, development, and deployment of ...

Home Depot

DATA SCIENCE MANAGER

Atlanta, GA · On-site

As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science ...

Home Depot

Data Science Manager

Atlanta, GA · On-site

As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science ...

Boeing

Data Scientist (Data Science)

Everett, WA

$173K - $234K/yr

... Science) Company: The Boeing Company Boeing Commercial Airplanes is looking for a Senior Data ... executive leadership in their decision-making process. You will contribute as a team member ...

Boeing

Data Scientist (Data Science)

Everett, WA

$173K - $234K/yr

... Science) Company: The Boeing Company Boeing Commercial Airplanes is looking for a Senior Data ... executive leadership in their decision-making process. You will contribute as a team member ...

The Jacobson Group

$175K - $200K/yr

... Science Director ... This individual will translate data into actionable strategies for the executive leadership team.

Boot Barn

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

Partner with executive leadership and cross-functional stakeholders to translate business needs into scalable data science & AI solutions * Oversee the design, development, and deployment of ...

Norstella

Director, Data Science

Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization * Lead, mentor, and grow a team of data scientists and ...

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Present complex analytical findings to senior stakeholders, including executive leadership About ...

Eisai

OR

This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...

Five9

Vice President, Data Science

The data science team is very much applied - their work directly makes its way into real products ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

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All JobsExecutive Disney Data Science Jobs

Executive Disney Data Science information

See salary details

$26.5K

$93.6K

$184K

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

As of Jun 8, 2026, the average yearly pay for executive disney data science in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Disney Data Science vs Disney Data Scientist?

AspectExecutive Disney Data ScienceDisney Data Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentStrategic leadership, cross-department collaborationData analysis, model development, technical tasks
Employer & Industry UsageExecutive roles in entertainment and media companiesTechnical roles within Disney's analytics and data teams
Common Search & ComparisonYesYes

The main difference between Executive Disney Data Science and Disney Data Scientist lies in their responsibilities and experience levels. Executives focus on strategic decision-making and leadership, often requiring advanced degrees and extensive industry experience. Data Scientists handle technical tasks like data analysis and modeling, typically with a strong technical background. Both roles are integral to Disney's data-driven initiatives but differ significantly in scope and seniority.

How do Executive Disney Data Science professionals typically collaborate with creative and business teams to drive data-informed decisions?

Executive Disney Data Science professionals frequently work cross-functionally, partnering closely with creative teams, business strategists, and technology groups. They translate complex data insights into actionable recommendations that support storytelling, content development, marketing, and operational efficiency. This role often involves presenting analytical findings to non-technical stakeholders and aligning data strategies with Disney’s broader business goals. Effective communication and a collaborative mindset are essential, as executives in this field must bridge the gap between technical analytics and creative or strategic initiatives.

What are the key skills and qualifications needed to thrive as an Executive Disney Data Science professional, and why are they important?

To thrive as an Executive Disney Data Science professional, you need advanced expertise in statistical analysis, machine learning, and data-driven strategy, typically supported by a graduate degree in data science, computer science, or a related field. Proficiency with big data platforms (e.g., Hadoop, Spark), programming languages (such as Python or R), and data visualization tools is essential, along with experience in cloud-based analytics systems. Exceptional leadership, communication, and strategic thinking skills distinguish top performers in this role. These competencies are crucial for driving impactful business decisions and innovation through data insights across Disney's diverse entertainment portfolio.

What is an Executive Disney Data Science professional?

An Executive Disney Data Science professional is a senior leader responsible for overseeing data-driven strategies and analytics initiatives within The Walt Disney Company. They lead teams of data scientists and analysts to drive business decisions, improve customer experiences, and optimize operations using data insights. These executives collaborate with various departments, such as marketing, technology, and finance, to ensure data is leveraged effectively across the organization. Their role typically involves setting the vision for data science, managing large-scale projects, and staying updated on the latest technologies and industry trends.
What cities are hiring for Executive Disney Data Science jobs? Cities with the most Executive 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 Executive Disney Data Science jobs? States with the most job openings for Executive Disney Data Science jobs include:
What job categories do people searching Executive Disney Data Science jobs look for? The top searched job categories for Executive Disney Data Science jobs are:
Executive Disney Data Science jobs near you
Infographic showing various Executive Disney Data Science job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Director, Data Science

Director, Data Science

DeepIntent

New York, NY • On-site

$200K - $250K/yr

Other

Posted 15 days ago

Job description

What You'll Do

DeepIntent is seeking a Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will oversee a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.

The Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will manage and collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial teams to deliver scalable, data-driven solutions.

Team Leadership & Strategic Execution

  • Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions.
  • Help execute the global data science roadmap supporting DeepIntent's mission to transform healthcare marketing through data and technology.
  • Lead and mentor a distributed team of data scientists across the U.S., Europe, and India.
  • Foster a culture of innovation, experimentation, and collaboration across teams.
  • Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact.

Healthcare-Focused Data Science & AI

  • Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement.
  • Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution.
  • Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines.
  • Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks.

Data Infrastructure & Governance

  • Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment.
  • Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability.
  • Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data.

Cross-Functional Collaboration

  • Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes.
  • Translate complex modeling outputs into actionable insights for internal stakeholders and clients.

Who You Are

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field 
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics a plus
  • 8+ years of experience in data science, machine learning, or advanced analytics roles.
  • 3+ years of experience leading data science or analytics teams.Serve in a player-coach capacity, balancing hands-on data science work with managerial  responsibilities  
  • Mentor and coach a team of 5 data scientists by providing ongoing feedback, supporting professional development, and fostering a collaborative, high-performance environment.
  • Experience working with adtech platforms, or marketing analytics environments.
  • Strong understanding of programmatic advertising, identity resolution; healthcare data ecosystem understanding a plus (claims, RWD, HCP and patient data).
  • Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost), LLM providers (Claude, OpenAI, Ollama)
  • Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution.
  • Excellent communicator capable of translating complex technical concepts to business stakeholders and clients.
  • Experience working with compliance frameworks and privacy-aware data science practices.
  • Comfort working in global, cross-functional environments across multiple time zones.
  • Passion for applying data science and AI to improve healthcare marketing outcomes.

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $200,000 - $250,000. The base salary range takes into consideration each candidate's skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

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