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Data Science Degree Jobs in Indiana (NOW HIRING)

Data Engineer

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 ...

The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position. • Bachelor's Degree in Computer Science, Data Science, Software ...

Data Architect

Zionsville, IN · On-site

$61.75 - $79.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ years of experience in data architecture, enterprise data management, or data integration roles

Collaborate with engineering, product, and data science teams to understand requirements ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

Bachelor's degree in Data Analytics, Information Systems, Business, Engineering, or related field ... Help transition of data science models into continuous production systems Business Systems ...

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Showing results 41-60

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 Aug 14, 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 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 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 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 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 cities in Indiana are hiring for Data Science Degree jobs?

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

Infographic showing various Data Science Degree job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

$135K - $155K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago


Job description


Job Title:
Data Engineer

Reports to: Senior Data Engineer

Role Summary:

Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind's intelligent products, machine learning models, and large language model (LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems.

Responsibilities: 

  • Responsible for the design, deployment, and maintenance of the business's data and AI platforms
  • Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases
  • Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation
  • Work cross-functionally with various departments, including but not limited to: leadership, the development team, the finance team, and the data science team, in order to convert data into understandable information and AI-ready inputs for other professionals
  • Ensure implemented data and AI systems have relevant security, privacy, and data-governance controls - particularly around data flowing into and out of third-party LLM providers

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable
  • 5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment and complex business setting
  • Expert level knowledge of SQL with focus on writing and optimizing queries
  • Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture
  • Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic, OpenAI, etc.)
  • Expert problem solving ability and maker's mentality; vast experience designing & architecting new features and solutions from scratch - especially those that blend traditional data systems with AI-powered components
  • Eagerness to discover innovative ways to work faster and more efficiently, including leveraging AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security, complexity, etc.)
  • Proactive communication, both written and spoken, and excellent ability to work well with others, in-person and remotely
  • Courage when it comes to raising concerns and asking questions
  • Ability to stay up-to-date with new frameworks and tools - especially in the rapidly evolving AI/ML space - to speed up development, while keeping a sharp eye out for potential vulnerabilities and edge cases (including prompt injection and data leakage to third-party AI services)
Benefits & Perks at inKind

At inKind, we believe supporting our employees goes beyond compensation. We're committed to creating an environment where our team can thrive both professionally and personally.

Health & Wellness
  • 100% employer-paid medical coverage through Blue Cross Blue Shield for employees on our base healthcare plan
  • 100% employer-paid Dental PPO coverage for employees
  • Vision coverage available
  • Company-paid Short-Term Disability coverage
Time Away & Flexibility
  • Unlimited Paid Time Off
  • 9 paid company holidays annually
  • Generous parental leave and child care benefits
Growth & Development
  • Career development and training opportunities designed to support long-term professional growth
Food & Lifestyle Perks
  • Daily catered lunches and office snacks
  • Credits to dine within the inKind restaurant network
Workplace Environment
  • Collaborative, in-person culture based in Austin, Texas
  • Dog-friendly office environment with views of downtown Austin

Salary: 

$135,000 - $155,000, DOEÂ