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Executive Disney Data Science Jobs in Delaware (NOW HIRING)

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 ...

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 ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... The role serves as a trusted advisor to executive leadership, business unit leaders, risk ...

... executive management * Understand the data environment to appropriately prioritize and set ... Science) * 4+ years of model development experience in a large institution preferred; PHD degrees ...

... executive management * Understand the data environment to appropriately prioritize and set ... Science) * 4+ years of model development experience in a large institution preferred; PHD degrees ...

Position typically deals with senior/executive management * Works independently on activities ... science) Graduate's degree preferred with either progressive project work experience or * 5+ year ...

Position typically deals with senior/executive management * Works independently on activities ... science) Graduate's degree preferred with either progressive project work experience or * 5+ year ...

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Executive Disney Data Science information

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 are the most commonly searched types of Disney Data Science jobs in Delaware? The most popular types of Disney Data Science jobs in Delaware are:
What are popular job titles related to Executive Disney Data Science jobs in Delaware? For Executive Disney Data Science jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Executive Disney Data Science jobs in Delaware look for? The top searched job categories for Executive Disney Data Science jobs in Delaware are:
What cities in Delaware are hiring for Executive Disney Data Science jobs? Cities in Delaware with the most Executive Disney Data Science job openings:

Part-time

Re-posted 24 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.
  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
  • Previous internship or project experience demonstrating practical data science applications.
  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.