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Applied Data Science Jobs in Indiana (NOW HIRING)

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 ...

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Applied Data Science information

See Indiana salary details

$24.4K

$138K

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How much do applied data science jobs pay per year?

As of Jul 14, 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.

Is data science high paying?

Data science is generally considered a high-paying field, with salaries often above average for technology roles. Factors such as experience, skills in programming and statistical analysis, and industry can influence compensation levels.

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. The degree often requires proficiency in programming languages like Python or R and knowledge of data management and modeling techniques.

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 typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and often involve working with large datasets to inform decision-making.

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.

Is 40 too late for data science?

Applied Data Science is a field open to individuals of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications, building portfolios, and continuously learning new tools like Python or R.

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 cities in Indiana are hiring for Applied Data Science jobs? Cities in Indiana with the most Applied Data Science job openings:
Infographic showing various Applied Data Science job openings in Indiana as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $138,036 per year, or $66.4 per hour.
Assistant Professor of the Practice & Founding Director ACMS Consulting Center (Two-year position)

Assistant Professor of the Practice & Founding Director ACMS Consulting Center (Two-year position)

University of Notre Dame

Notre Dame, IN

Contractor

Posted 13 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

299th of 553 rated colleges and universities


Job description

Company Description

The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

The Department of Applied and Computational Mathematics and Statistics (ACMS) in the College of Science at the University of Notre Dame invites applications for a Visiting Assistant Professor of the Practice position. This two year visiting appointment will serve as a pilot program to establish and lead a new ACMS Consulting Center.

This position provides an exciting opportunity to build and direct a center focused on developing the next generation of consulting professionals while providing high impact consulting support to the University community. The ACMS Consulting Center will train M.S. and Ph.D. students to apply statistical, mathematical, computational, and AI/machine learning approaches to real-world challenges while supporting faculty, staff, and graduate students engaged in interdisciplinary research.

The successful candidate will serve as the founding director of the Consulting Center and play a critical role in establishing its vision, operations, partnerships, and long term impact. The Center is envisioned as a hub for interdisciplinary collaboration and research support across the University.

Appointment Details

This is a two-year visiting appointment at the rank of Visiting Assistant Professor of the Practice. The position is expected to begin in August 2026 or later.

The appointment includes responsibilities related to teaching, service, consulting activities, and the development and leadership of the ACMS Consulting Center. The teaching load in ACMS is competitive and designed to support the responsibilities associated with building and directing the Center.

Key Responsibilities

  • Design, establish, and lead the ACMS Consulting Center, including developing the Center's vision, operations, policies, procedures, and assessment strategies.
  • Build and expand partnerships with faculty, staff, researchers, and academic units across the University to increase awareness and utilization of the Center's services.
  • Provide consulting expertise to faculty, staff, and graduate students on research projects involving statistics, data science, mathematical modeling, computation, and artificial intelligence/machine learning.
  • Support research teams through study design, data analysis, modeling approaches, computational methods, interpretation of results, and effective communication of technical findings.
  • Develop and teach a graduate level consulting course focused on consulting practice, communication, ethics, project management, and applied problem-solving.
  • Mentor and supervise graduate students participating in consulting engagements and provide opportunities for students to gain practical consulting experience.
  • Develop processes and best practices that prepare students for successful careers in consulting and applied data-driven problem solving.
  • Coordinate and assist with the ACMS/Math Lab.
  • Contribute to departmental service activities consistent with a Professor of the Practice appointment.
  • Participate in scholarly and professional activities related to consulting, applied mathematics, statistics, data science, computation, and interdisciplinary research.
Qualifications

Minimum Qualifications

  • Bachelor's degree in mathematics, statistics, data science, applied mathematics, or a closely related field.
  • At least one year of professional consulting experience.
  • Demonstrated ability to communicate complex technical concepts effectively to diverse audiences and stakeholders.
     

Preferred Qualifications

  • Master's degree or Ph.D. in Applied Mathematics, Data Science, Mathematics, Statistics, or a closely related field.
  • Significant experience providing consulting services involving statistics, computational methods, mathematical modeling, or artificial intelligence/machine learning.
  • Experience teaching, mentoring, or training students or professionals.
  • Demonstrated leadership, organizational, and program development skills.
  • Experience working in interdisciplinary research environments.
Additional Information

About the University of Notre Dame and the ACMS Department

The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

The Department of Applied and Computational Mathematics and Statistics (ACMS) supports interdisciplinary research and education across applied mathematics, statistics and data science, and artificial intelligence and machine learning. ACMS faculty engage in a wide range of collaborative research partnerships and offer undergraduate, graduate, and professional programs, including a Bachelor of Science, doctoral degree, research master's degree, and professional master's degree.

Application Instructions: Please do not apply directly to this posting. Apply via Interfolio and include the below requirements.

Applicants should submit:

  • Cover letter
  • Curriculum vitae or resume
  • Statement describing experience in consulting, mentoring, teaching, and interdisciplinary collaborations
  • Contact information for three references

Review of applications will begin immediately and continue until the position is filled.

Questions about the position may be addressed to Department Chair Jonathan Hauenstein at [email protected].

Applications due by 11/20/26

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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