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Data Science Engineer Jobs in Indiana (NOW HIRING)

Data Engineer - Healthcare

Indianapolis, IN · Remote

$109.40K - $131.40K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field. * 2+ years' technical experience in data analysis or engineering. * Proficiency in SQL and Python. * Comprehensive ...

Experience contributing to shared data science or ML engineering standards, tooling, or best practices WHY WE COULD BE A GREAT FIT Impactful Mission * Your work directly contributes to improving ...

Databricks Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics * 3+ years of experience in data engineering, extract, transform, load (ETL) ...

This is a founding role: you will shape the data science function from the ground up, set technical ... Collaborate closely with engineering on data instrumentation, pipeline design, deployment, and ...

... science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural ...

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Showing results 1-20

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 Jun 1, 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 job?

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 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 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 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:
Infographic showing various Data Science Engineer job openings in Indiana as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
Data Scientist -Indianapolis, IN

Data Scientist -Indianapolis, IN

Georgia IT Inc

Indianapolis, IN

Other

Posted 15 days ago


Job description

Job Title:- Data Scientist
Location:- Indianapolis, IN
Duration:- 12+ months
Rate:- DOE
Job Description
The candidate must have experience and fundamental knowledge in machine learning, experience in deploying models, and programming skills to develop and deliver Client solutions in an industry setting.
Responsibilities: Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs.

  • Design and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasets
  • Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale
  • Communicate and train research partners on models and products to facilitate data-driven decisions
  • Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed
  • Steward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architecture
  • Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial
Required Qualifications
  • 7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
  • Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
  • Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
  • Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
  • Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
  • Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
  • Strong critical thinking and problem-solving skills, flexibility, and willingness to learn
Preferred Qualifications:
  • Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
  • Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
  • Familiarity with artificial intelligence or generative AI techniques
  • Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL)
  • Experience with AWS
  • Experience consulting on scientific projects or working within a scientific team

Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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