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Data Science R Jobs in Indiana (NOW HIRING)

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. * Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data ...

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CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in in computer science, software engineering or a closely related field; a Master ... Proficiency in at least one programming language, such as Python or R * Experience with a BI ...

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

... science in business today. Preferred Skills: * Experience with other data and analytics tools and ... Python or R development experience. * Business Intelligence architecture experience. * Project ...

STI

Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45K - $61K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

Keystone

ML Engineer

Indianapolis, IN

Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ... Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ... Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree ...

Infosys

AI Architect

Indianapolis, IN · On-site

$56 - $72/hr

The Data Science Consultant 3 will be responsible for reviewing and refining data models, ensuring ... like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning ...

Bsu

Instructor of Science

Muncie, IN · On-site

$48K - $74K/yr

... data, objectives, allocating an instructionally appropriate amount of time, designing meaningful ... Possess knowledge of Ball State University and Burris Laboratory School policies and procedures. r.

Zimmer, Inc.

Business Systems Senior Analyst

Warsaw, IN · On-site +1

Collaborate with advanced data science, data quality, market research and other Analytics teams to ... Using reporting and analytics tools, such as SAS/Base programming, R, SQL, Excel, and VBA or ...

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

Collaborating with a multidisciplinary team of data scientists, data engineers, and software ... Strong programming skills in Python and R (including libraries like scikit-learn, PyTorch, or ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... Computer Science, Information Systems, Finance, Business, or related field. (Will consider ... Python or R to support data preparation, automation, and predictive modeling. - Strong ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

... sciences in more than 160 countries and regions. Position Summary The Senior Data Analyst is ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

... computer science, management information systems, and mathematics/statistics, Master's degree ... SQL, SAS, R, Python, etc. • 5+ years' experience in Data Visualization • Experience integrating ...

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Data Science R information

See Indiana salary details

$35.7K

$116.8K

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How much do data science r jobs pay per year?

As of Jun 30, 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 job?

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 are the typical daily tasks for a Data Science R professional in most organizations?

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.

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
DWD - Data Analyst

DWD - Data Analyst

Staffingine LLC

Indianapolis, IN • On-site

Full-time

Posted 6 days ago

Be an early applicant

Job description

Job Title: DWD - Data Analyst
Location: Indianapolis, IN
Job Type: Full-Time

Job Description:

  • Gather, clean, and organise large datasets from various sources.
  • Validate and verify data accuracy, consistency, and completeness across various data sources.
  • Identify and resolve data discrepancies, inconsistencies and errors.
  • Perform routine and ad hoc data quality checks using automated and manual validation techniques.
  • Work closely with data entry teams and other analysts, and stakeholders to ensure data integrity.
  • Perform data analysis to identify trends, patterns, and correlations.
  • Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI.
  • Collaborate with cross-functional teams to support business objectives.
  • Interpret data to provide strategic recommendations and business insights.
  • Ensure data accuracy and integrity.
  • Use statistical techniques and predictive modelling to improve decision-making.
  • Document processes and methodologies for data collection and analysis.

Required Skills & Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in data analysis tools such as SQL, Python, R, or Excel.
  • Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work independently and in a team-oriented environment.