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Data Science Engineer Jobs in Indiana (NOW HIRING)

Equiliem

Databricks Data Scientist

Indianapolis, IN · On-site

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. * Hands-on experience ...

Norstella

Senior Data Scientist

Indianapolis, IN · Remote

Senior Data Scientist Company: Norstella Location: Remote, United States Date Posted: May 26, 2026 ... Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline ...

Zimmerman Advertising

Data Scientist

Indianapolis, IN · On-site

Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design, develop and deploy machine learning models that meet business ...

Deloitte

Data Scientist

Indianapolis, IN

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience * 5+ Years of Experience in a Data Science or ...

Indeed

Data Scientist III

Indianapolis, IN · On-site

Collaborate with engineering and product teams to integrate data science solutions into product workflows. * Mentor and support other data scientists, promoting knowledge sharing and best practices.

Sedgwick

Principal Data Scientist

Indianapolis, IN · On-site +1

Partner with AI Engineering teams to productionize models and integrate them into enterprise AI ... Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ...

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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 3, 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.
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Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Indiana as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
Databricks Data Scientist

Databricks Data Scientist

Equiliem

Indianapolis, IN • On-site

Other

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

Job description

Role: Databricks Data Scientist
Location: Indianapolis, IN - onsite
Duration: 6 months
Desirable Skills:
Keyword: ~AWS| Python~
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Databricks
Experience Required: 10 & Above
Job Description:
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
Data Science & Machine Learning
  • 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.
Databricks & Lakehouse Architecture
  • 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.
Genie (AI/BI & Natural Language Analytics)
  • 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.
Business Enablement & Collaboration
  • 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 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.
  • 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.
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About Equiliem

Sourced by ZipRecruiter

Equiliem specializes in staffing clinical, non-clinical, and allied personnel. We excel in all levels, disciplines, and specialties within the healthcare spectrum. Our projects range from short to long term local and travel assignments. Equiliem has been recognized as a certified small business enterprise. In addition, we are proud that we have earned the prestigious Joint Commission accreditation for staffing firms and have been awarded Best in Staffing 4 years running by our employees and client partners.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

East Brunswick, NJ, US

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