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R Programming Language Jobs in Indiana (NOW HIRING)

Quality Engineer

Muncie, IN · On-site

$66K - $86K/yr

s may display in multiple languages based on your language selection. What we offer: At Magna, you ... Statistical abilities, & understanding of gage R&R's, capability studies * Conduct yourself as a ...

Quality Engineer

Muncie, IN · On-site

$66K - $86K/yr

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... Statistical abilities, & understanding of gage R&R's, capability studies * Conduct yourself as a ...

Re-engineer existing products * Ensure that product aesthetics and other physical attributes are ... Language Skills: Ability to read and interpret documents such as safety rules, operating and ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Natural language processing * Data pipelines and automation * API development and integration ... R and Python (required) Appropriate level will be determined based upon experience and knowledge.

Resident Engineer

Kokomo, IN · On-site

$86K - $110K/yr

... O&R), quality maintenance (X and QM), and reactive/preventive QA Matrices and read across ... Language: Bilingual Verbal and written capability for English and Spanish * Ability to lead an ...

... and R&D. Education and/or Experience: Bachelor's degree (B.S.) in manufacturing, industrial ... Language Skills: Ability to read and interpret documents such as: safety rules, operating and ...

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

... language inputs. * Hands-on experience working with prompt engineering - building Retrieval ... Strong programming skills in Python and R (including libraries like scikit-learn, PyTorch, or ...

R-084501 Loughbeg, Ringaskiddy - Requisition Number: R-085484 St. Anthony's Road, Leeds, UK ... Partner with site leadership, manufacturing, engineering, and EHS teams toidentifyenvironmental ...

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Showing results 1-20

R Programming Language information

What are the most common challenges faced by R Programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What is an R Programming Language job?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

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

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most commonly searched types of R Programming Language jobs in Indiana? The most popular types of R Programming Language jobs in Indiana are:
What are popular job titles related to R Programming Language jobs in Indiana? For R Programming Language jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching R Programming Language jobs in Indiana look for? The top searched job categories for R Programming Language jobs in Indiana are:
Infographic showing various R Programming Language job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Operations Research Analyst-Direct Hire

Operations Research Analyst-Direct Hire

US Department of the Treasury

Fort Wayne, IN • On-site

$74K/yr

Other

Posted 2 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

234th of 686 rated public administrative organizations


Job description


WHAT IS DATA AND ANALYTICS?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Position(s) are to be filled in the following area(s):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off date as shown in announcement under the 'How to Apply' section.
BASIC REQUIREMENTS GS-5 AND (All GRADES): A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
SPECIALIZED EXPERIENCE GS-11 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques. For example, experience would show a good understanding of operations research processes, procedures, and rules.
  • Experience utilizing mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations or the equivalent.
  • Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
  • Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
  • Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
  • Experience using oral and written techniques to develop/prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
  • Experience with a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL) or object-oriented programming language for data analysis (examples include: Python, R, SAS).
OR
Education
: You may substitute education for specialized experience as follows: Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR
A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR Combination of Education and Experience: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.
SPECIALIZED EXPERIENCE GS-12 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position must include the following:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.
  • Experience with multivariate techniques and mathematical, simulation, economics, econometric, and statistical operations research techniques to use in the context of organizational policy decisions or business problems.
  • Experience with the Internal Revenue Code, Treasury and Office of Management and Budget (OMB) regulations and procedures, administrative provisions, and the Internal Revenue Manual in order to ensure guidelines are applied in analysis.
  • Experience assisting or conducting research using standard methods for identifying the probable causes of cost/workload variances and procedures for resolving variances.
  • Experience with oral and written communications to complete data analysis and communicate analytical findings through conference calls, emails, graphic displays, and oral presentations.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
See education information for Specialized experience qualification for GS 13 Level.
For more information on qualifications please refer to OPM's Qualifications Standards.Education:
SPECIALIZED EXPERIENCE GS-13 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.
  • Experience conducting data analysis and communicating analytic findings to stakeholders through written products (e.g., emails, reports) and oral communication methods such as conference calls and presentations.
  • Experience applying the Internal Revenue code, Treasury and OPM regulations, administrative requirements and guidance to ensure analysis, recommendations or actions comply with established guidelines.
  • Experience consulting with supervisors, other operations research analysts, and subject-matter specialists to advise them on all aspects of problem-related studies and assignments, including the translation of broad and specific technical problems and considerations into language which allows for decisions and actions to be taken.
  • Experience using software (e.g., Excel) to develop analytical spreadsheets, prepare reports, and create materials that support operations to analyze and interpret technical or program data, develop tracking mechanisms and prepare technical reports or briefings used by management to evaluate performance, resolve issues or recommend improvements.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform)

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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