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Data Science R Jobs in Indiana (NOW HIRING)

Corteva, Inc.

Senior Data Scientist

Indianapolis, IN · On-site

D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess ... Proficiency in Python, R, or another programming language. * Excellent communication and ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Five (5) years of required statistical or data science, or related experience must include: * Three (3) years of experience with Python, R, SAS, or SAS Enterprise Miner; * Two (2) years of experience ...

Socket.dev

Senior Data Scientist

Carmel, IN · On-site

$119 - $144/hr

... working with data science, advanced analytics, economic analysis, or related disciplines. * Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA.

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

Five (5) years of required statistical or data science, or related experience must include: * Three (3) years of experience with Python, R, SAS, or SAS Enterprise Miner; * Two (2) years of experience ...

Munich RE

Data Scientist

Indianapolis, IN · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Elevance Health

Data Scientist

Indianapolis, IN · Hybrid

Developing and maintaining data science models, detection analytics, and behavioral algorithms for ... Scripting and programming languages such as Python, SQL, R, or similar technologies preferred.

Munich RE

Data Scientist

Fishers, IN · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Five (5) years of required statistical or data science, or related experience must include: * Three (3) years of experience with Python, R, SAS, or SAS Enterprise Miner; * Two (2) years of experience ...

Elevance Health

Data Scientist

Indianapolis, IN · Hybrid

Developing and maintaining data science models, detection analytics, and behavioral algorithms for ... Scripting and programming languages such as Python, SQL, R, or similar technologies preferred.

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Showing results 21-40

All JobsData Science R JobsData Science R Jobs in Indiana

Data Science R information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do data science r jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science r 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 is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Indiana?

The most popular types of Data Science R jobs in Indiana are:

What are popular job titles related to Data Science R jobs in Indiana?

For Data Science R jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Indiana look for?

The top searched job categories for Data Science R jobs in Indiana are:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Indiana as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Senior Data Scientist

Corteva, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 5 days ago

Corteva Agriscience rating

8.2

Company rating: 8.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers

Job description

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
We are seeking a highly skilled Senior Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop adaptive bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments.
What You'll Do:
  • Design and implement adaptive process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and cost savings.
  • Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing.
  • Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction.
  • Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.
  • Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance.
  • Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders.
  • Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.

What Skills You Need:
  • M.S. + 6 years' experience or Ph.D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field.
  • Strong foundation in machine learning, statistical modeling, and process control.
  • Proficiency in Python, R, or another programming language.
  • Excellent communication and collaboration skills; ability to work in multidisciplinary teams.

Preferred Skills:
  • Familiarity with bioprocess workflows, fermentation, and downstream processing.
  • Hands-on experience with bioprocess optimization models and adaptive process control strategies.
  • Experience with industrial data systems and cloud platforms.
  • Knowledge of reinforcement learning or adaptive experimentation / Bayesian optimization for process improvement.

Why Join Us?
You will be part of a globally distributed team driving innovation in bioprocess optimization and manufacturing excellence. This role offers opportunities to work on cutting-edge projects that directly impact productivity, sustainability, and cost efficiency.
#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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