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Data Science Degree Jobs in Indiana (NOW HIRING)

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Data Science Degree information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do data science degree jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science degree in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

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

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Indiana?

For Data Science Degree jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Indiana look for?

The top searched job categories for Data Science Degree jobs in Indiana are:

What cities in Indiana are hiring for Data Science Degree jobs?

Cities in Indiana with the most Data Science Degree job openings:

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Data Management Analyst

Peerless Technologies

Crane, IN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Peerless is seeking a skilled Data Management Analyst to develop, configure, maintain, and enhance data management systems, databases, reporting solutions, and business intelligence tools. The successful candidate will support data governance, analytics, reporting, system administration, and data science initiatives while working closely with stakeholders to develop technical solutions and ensure the integrity, accessibility, and effective use of organizational data.

Key Responsibilities

  • Administer and maintain enterprise databases, data repositories, and document management systems.
  • Manage data collection, validation, integration, import/export, storage, and retrieval processes.
  • Monitor database performance, data quality, and system functionality to ensure data integrity and reliability.
  • Manage user access, permissions, and database troubleshooting activities.
  • Develop and maintain reports, dashboards, metrics, and analytical products supporting organizational decision-making.
  • Develop databases, reporting applications, and automated workflows using tools such as Excel, Access, SQL Server, .NET, and Power BI.
  • Generate routine and ad hoc reports, analyses, and performance metrics.
  • Develop, configure, and enhance business systems, applications, and reporting solutions.
  • Support system upgrades, testing, implementation, and ongoing maintenance.
  • Support data science and advanced analytics initiatives through data collection, preparation, analysis, and modeling.
  • Assist with machine learning initiatives, data acquisition, model inputs, and development of data products.

Requirements

  • Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Mathematics, Statistics, or a related field.
  • Experience managing databases, data repositories, and reporting systems.
  • Experience developing reports, dashboards, and analytical products.
  • Proficiency with Microsoft Excel, Microsoft Access, SQL, and database/reporting technologies.
  • Knowledge of database structures, data management, and data governance principles.
  • Strong analytical, problem-solving, communication, and organizational skills.
  • Ability to manage multiple projects and priorities in a dynamic environment.

Preferred Qualifications

  • Experience with SQL Server, .NET, Power BI, Tableau, Python, or R.
  • Knowledge of data science, machine learning, and data modeling methodologies.
  • Experience supporting enterprise information systems or business intelligence environments.
  • Familiarity with cloud-based data platforms and data integration technologies.
  • Experience with process improvement and workflow automation.

Apply