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Data Science Engineer Jobs in Indiana (NOW HIRING)

Elanco

Senior Data Scientist

Indianapolis, IN

Required Experience: 12+ years experience in Data Science or relevant work. * Programming Proficiency: Strong programming skills in Python or R, with expertise in data manipulation and machine ...

MISO Default Brand

Senior Data Scientist

Carmel, IN · On-site

$119K - $144K/yr

At least eight (8) years of relevant experience working with data science, advanced analytics, economic analysis, or related disciplines. * Strong programming and analytical experience using tools ...

Corteva, Inc.

Senior Data Scientist

Indianapolis, IN · On-site

D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field. * Strong foundation in machine learning ...

MISO

Senior Data Scientist

Carmel, IN · On-site

$119K - $144K/yr

At least eight (8) years of relevant experience working with data science, advanced analytics, economic analysis, or related disciplines. * Strong programming and analytical experience using tools ...

Garrettgp

Data Scientist - JETARS

Fort Wayne, IN · On-site

... teams across data engineering, analytics, operations, and mission stakeholders. Required Qualifications * Bachelor's degree or higher in data science, computer science, statistics, applied ...

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Showing results 21-40

All JobsData Science Engineer JobsData Science Engineer Jobs in Indiana

Data Science Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data science engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data science engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

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

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

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

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

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Indiana as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

R & D Intern - Computer & Data Science

Indianapolis, IN • On-site

Corteva Agriscience
Crop Farming • 10K+ employees
Learn more about Corteva Agriscienceexternal

Full-time, Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Who are we, and what do we do?
Grow what's next. Grow your future. Are you excited to contribute to innovative research that advances food security and sustainability? Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.
What You'll Do:
Interns will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling.
  • Engage with business users to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes.
  • Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.
  • Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively.
  • Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables.
  • Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.
  • Work with geographic information systems, where applicable, to develop new data products and conduct assessments.

What Skills You Need:
  • Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or a related Field
  • Must have successfully completed two full years of undergraduate-level computer science or Data Science curriculum including associated laboratory courses.
  • Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset.
  • Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus.
  • Minimum 3.0 GPA
  • Must be able to relocate to Indianapolis, IN for the duration of the internship.
  • Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available).
  • Experience with the R programming language, Python, cloud computing (Azure, AWS, GCP), and visualization packages is a plus but not required.

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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