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Data Science Degree Jobs in Indiana (NOW HIRING)

Zimmerman Advertising

Data Scientist

Indianapolis, IN · On-site

Computer Science Degree or related field * 1 or more years of industry experience building scalable services and data driven platforms. * Experience with building ML infrastructure, writing ...

Lilly

Data Scientist

Indianapolis, IN · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field * 1 years of data science experience in Python, R and core data science libraries in a ...

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 ...

Johnson & Johnson

Sr. Data Scientist

Warsaw, IN · On-site

A Bachelor's degree in a technical or clinical field (e.g. Epidemiology, Biomedical Engineering, Data Science, Biostatistics, Applied Statistics, Business Analytics, Life Sciences, Quality ...

Indeed

Data Scientist III

Indianapolis, IN · On-site

Translate data into actionable insights to guide product, marketing and business decisions ... Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 ...

SynergisticIT

Junior Data Scientist

Indianapolis, IN · On-site

... at Gartner Data Analytics Summit (Florida)-2023 All Positions are open for all visas and US ... degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering ...

SynergisticIT

Data Scientist - Junior

Indianapolis, IN · On-site

... degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering ... data visualization tools Excellent written and verbal communication skills Preferred skills: NLP ...

Norstella

Senior Data Scientist

Indianapolis, IN · Remote

Senior Data Scientist Company: Norstella Location: Remote, United States Date Posted: May 11, 2026 ... Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline ...

SynergisticIT

Data Scientist

Indianapolis, IN · On-site

Data Scientist SynergisticIT is aware that the job market is challenging due to tech layoffs, which ... Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ...

Toptal

Advanced degree in Computer Science, Data Science, AI, Statistics, Mathematics, or a related field is a plus; equivalent practical experience is strongly valued. What We Are Looking For * A founder ...

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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 May 28, 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 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 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 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.

Is data science dead in 10 years?

Data science is a growing field that is expected to remain relevant over the next decade, as organizations continue to rely on data analysis, machine learning, and statistical skills. Advances in automation and AI may change some roles, but the need for skilled data scientists to interpret complex data and develop models will persist. Continuous learning and proficiency with tools like Python, R, and SQL are essential for long-term career success in this field.

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 are popular job titles related to Data Science Degree jobs in Indiana? For Data Science Degree jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Indiana look for? The top searched job categories for Data Science Degree jobs in Indiana are:
What cities in Indiana are hiring for Data Science Degree jobs? Cities in Indiana with the most Data Science Degree job openings:
Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Indiana as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Data Scientist

Data Scientist

Zimmerman Advertising

Indianapolis, IN • On-site

Other

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

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities:

  • Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform
  • Using ML flow or similar application to create and serve up ML Models
  • 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 requirements.
  • Develop and maintain continuous integration and delivery pipelines for machine learning models, ensuring that they are tested, validated, and deployed in a consistent and reliable manner.
  • Perform data analysis and feature engineering to support machine learning model development.
  • Stay up to date with the latest advancements in machine learning and MLOps and evaluate new technologies that can improve our processes and models.
  • Provide mentorship and technical guidance to junior data scientists and machine learning engineers.
  • Leveraging open-source tools and building frameworks and components to improve and scale our Serving and ML platform

Requirements

  • Experience in both architecting and the hands-on implementation of infrastructure
  • Must have experience in the Media, Advertising or Marketing Industry
  • Can deploy ML model to a production cloud environment
  • Hands-on experience in GCP, Databricks or Apache Spark mandatory
  • Strong knowledge of ETL concepts and data processing workflows
  • Experience with ML libraries and predictive analytics
  • Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs.
  • Computer Science Degree or related field
  • 1 or more years of industry experience building scalable services and data driven platforms.
  • Experience with building ML infrastructure, writing production level code, & deploying Machine Learning models
  • Experience working on complex problems and systems where scalability and performance are very important
  • Strong problem solving and debugging skills. Entrepreneurial individuals who are passionate about AI ethics and causality

Required Skills

Required Experience

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