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Fulltime Disney Data Science Jobs in Indiana (NOW HIRING)

Secret Job Type: Full-Time Target Salary Range*: $80,000-95,000 *This represents the potential ... Science and Technology (S&T) community. Products will support algorithm development on Unmanned ...

Data Architect

Zionsville, IN · On-site

$61.75 - $79.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to ... Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ...

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

STATUS: Full-Time/Grant Funded FLSA STATUS: Exempt DATES: July 29, 2026 - until filled To perform ... Thorough knowledge of concepts, practices, and procedures of data science and analysis, with strong ...

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Fulltime Disney Data Science information

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 in Indiana are hiring for Fulltime Disney Data Science jobs?

Cities in Indiana with the most Fulltime Disney Data Science job openings:

Data Scientist - AI & Agentic Solutions

Aunalytics

South Bend, IN • On-site

Full-time

Re-posted 12 days ago


Job description

Location

South Bend, IN - Hybrid

Type

Full-time

Travel

Occasional, client-dependent

Level

Senior Individual Contributor

About the Role

Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.

What You'll Do

  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready — integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy — feasibility, risk, sequencing, and expected ROI — in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

What You'll Bring

Required

  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) — preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI — building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills — you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have

  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

Why Aunalytics

  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems — you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work