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Applied Data Science Jobs in Indiana (NOW HIRING)

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

... or applied data science. * Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments. * Demonstrated experience with LLMs, MLOps pipelines ...

Cisco

Applied AI Scientist

Indianapolis, IN · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Amatriot Group, LLC

Data Scientist

Crane, IN

$80K - $95K/yr

... Science and Technology (S&T) community. Products will support algorithm development on Unmanned ... Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing. * Experience with ...

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See Indiana salary details

$24.4K

$138K

$210K

How much do applied data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied data science in Indiana is $138,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,461.00 and $171,550.00 per year, depending on experience, location, and employer.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What are popular job titles related to Applied Data Science jobs in Indiana? For Applied Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Applied Data Science jobs in Indiana look for? The top searched job categories for Applied Data Science jobs in Indiana are:
What cities in Indiana are hiring for Applied Data Science jobs? Cities in Indiana with the most Applied Data Science job openings:
Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,036 per year, or $66.4 per hour.

Data Scientist -- AI & Agentic Solutions

Hirebridge

South Bend, IN • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

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
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