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Data Science Jobs in Indiana (NOW HIRING)

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions. * Apply advanced modeling techniques, including machine ...

New

Circle

$152K - $205K/yr

Create data visualizations to translate analytic and data science results for broad understanding across the business * Build scalable automation solutions using SQL, dashboards, and other tools to ...

Circle

$152K - $205K/yr

Create data visualizations to translate analytic and data science results for broad understanding across the business * Build scalable automation solutions using SQL, dashboards, and other tools to ...

Lilly

Clinical Data Associate

Indianapolis, IN · On-site

The role is responsible for providing clinical data science leadership and ownership for a particular clinical study, set of studies, or programs. Primary Responsibilities: This is intended to ...

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All JobsData Science JobsData Science Jobs in Indiana

Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data science 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 statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Indiana? The most popular types of Data Science jobs in Indiana are:
What are popular job titles related to Data Science jobs in Indiana? For Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Indiana look for? The top searched job categories for Data Science jobs in Indiana are:
What cities in Indiana are hiring for Data Science jobs? Cities in Indiana with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Data Science & Analysis - AI Training - Indianapolis, US

Prolific Academic Ltd

Indianapolis, IN • On-site, Remote

$80/hr

Full-time

Posted 19 days ago

Job description

Data Science & Analysis - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
  • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering.
  • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently.
  • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations.
  • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail.
  • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly.
  • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models.
  • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior.
Key Technologies
  • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
  • Data Querying: advanced SQL for complex data extraction and manipulation.
  • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn.
  • Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

Website

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.