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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 ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · Remote

$68 - $71/hr

Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related ... Applied knowledge of statistical analytics techniques. Demonstrated collaboration with cross ...

inKind

Data Engineer (AI)

Austin, IN

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology ...

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All JobsApplied Data Science JobsApplied Data Science Jobs in Indiana

Applied Data Science information

See Indiana salary details

$24.4K

$138K

$210K

How much do applied data science jobs pay per year?

As of Jun 19, 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 are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

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 is the salary of applied data scientist?

The average salary of an applied data scientist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher salaries.

What does applied data science do?

Applied data science involves using data analysis, statistical methods, and machine learning techniques to solve real-world problems and inform decision-making. Professionals in this field work with large datasets, programming tools like Python or R, and often collaborate with business teams to develop actionable insights. It requires strong analytical skills and knowledge of data management and modeling.

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 jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

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 job?

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $138,036 per year, or $66.4 per hour.
Senior AI/ML Engineer

Senior AI/ML Engineer

Vergence

Bedford, IN • On-site

$93K - $128K/yr

Full-time

Posted 21 days ago

Job description

Must be able to work on-site in Bedford, IN 1-2 days/week.
Responsibilities:
  • Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions.
  • Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications.
  • Conduct rigorous testing and evaluation of AI/ML performance against operational datasets.
  • Analyze test data to identify model strengths, weaknesses, and mission relevance.
  • Refine and optimize systems to ensure robustness, scalability, and cyber resilience.
  • Troubleshoot complex system challenges and provide technical guidance for deployed solutions.
  • Deliver comprehensive documentation and technical reports to stakeholders.
  • Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems.

Qualifications:
  • Active DoD Secret Clearance (Top Secret preferred).
  • Bachelor's degree in Computer Science, Engineering, or related technical discipline (Master's preferred).
  • 10+ years of progressive experience in AI/ML engineering, software development, 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, and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation.
  • Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders.
  • DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained.
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About Vergence

Sourced by ZipRecruiter

Vergence is an SBA-certified 8(a) consulting firm based out of Indianapolis. Our focus areas are business consulting, technology services, and healthcare management. We work with a wide range of government and commercial entities.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Indianapolis, IN, US

Year founded

2011

Social media

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