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Data Science Engineer Jobs in Indiana (NOW HIRING)

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Munich Re

Data Scientist

Fishers, IN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Samba

Data Scientist

Warsaw, IN · On-site

... with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups Who You Are: * Bachelor's degree required in Statistics, Data Science ...

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

2027 Summer Intern - Data Science

Carmel, IN · On-site

... Science/Technology, Computer Engineering, Data Science, or a related field and searching for a ... Work on real AI and software engineering projects that help MISO explore and build new technologies ...

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 ...

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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 13, 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, 2% As Needed, 82% Full Time, 13% Part Time, and 2% 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.

Databricks Data Scientist

Indianapolis, IN • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Prophecy Technologiesexternal

Full-time

Posted 10 days ago

Job description

Role Overview:
We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.
Key Responsibilities:
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion ? training ? deployment ? monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.

Required Skills:
  • Hands-on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Qualifications:
  • Bachelor's or master's degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.

Preferred Skills:
  • Digital : Databricks

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