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R Statistical Programmer Jobs in Arkansas (NOW HIRING)

Ocugen Opco Inc

Clinical Data Scientist

Malvern, AR · On-site

$125 - $150/hr

Act as a liaison between Biostatistics/Stat Programming, Data Management and Clinical Operations ... Proficiency in programming languages such as SAS, R, Python, SQL, or similar tools.Demonstrated ...

Walmart

Sr. Manager, Advanced Analytics

Bentonville, AR · On-site

$113K - $180K/yr

Developing predictive and descriptive analytical models using statistical programming tools (eg: Python or R), including customer segmentation models and performance forecasting models; Creating ...

United Airlines

AR

... R, and approval packages. * Develop and execute supplier qualification processes, including ... Proficiency in statistical analysis tools (MinitabJD) and problem-solving methodologies (8D, DMAIC)

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

... Statistics, Economics, Business Administration, or related field with Equivalent Masters or ... Specific experience with R and Python (Required) * Previous energy industry experience (Preferred)

Grady Health System

TRC Data Analyst

Grady, AR · On-site

Primary (observational and experimental) and secondary research, data analysis, data science, and data management for research including R programming, collecting and cleaning data, statistical data ...

CEDENT

Sr. Data Scientist

Bentonville, AR · On-site

... in statistics, economics, operations research, engineering, or related field • 6+ years of ... R) and database knowledge • Extensive experience with predictive modeling algorithms • Strong ...

Walmart

(USA) Senior, Data Analyst

Bentonville, AR · On-site

$75K - $95K/yr

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... R, Power BI, or Tableau) Primary Location... 802 Respect Dr, Bentonville, AR 72716, United States ...

Walmart

(USA) Senior, Data Analyst

Bentonville, AR · On-site

$75K - $95K/yr

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... R, Power BI, or Tableau) Primary Location... 802 Respect Dr, Bentonville, AR 72716, United States ...

Gates

Process Engineer

Siloam Springs, AR · On-site

Basic knowledge of automotive quality systems, such as APQP, PPAP, Gage R&R, Process Capability ... Experience with statistical analysis software, such as Minitab or equivalent. * Strong skills in ...

Gates Corporation

Sr. Process Engineer

Siloam Springs, AR

$83K - $107K/yr

Basic knowledge of automotive quality systems, such as APQP, PPAP, Gage R&R, Process Capability ... Experience with statistical analysis software, such as Minitab or equivalent. * Strong skills in ...

Gates

Sr. Process Engineer

Siloam Springs, AR · On-site

$83K - $107K/yr

Basic knowledge of automotive quality systems, such as APQP, PPAP, Gage R&R, Process Capability ... Experience with statistical analysis software, such as Minitab or equivalent. * Strong skills in ...

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All JobsR Statistical Programmer JobsR Statistical Programmer Jobs in Arkansas

R Statistical Programmer information

See Arkansas salary details

$69.9K

$121.8K

$205.9K

How much do r statistical programmer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for r statistical programmer in Arkansas is $121,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $132,300.00 per year, depending on experience, location, and employer.

What is an R statistical programmer?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

What does an R statistical programmer do?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.

What are the key skills and qualifications needed to thrive as an R statistical programmer?

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

What are popular job titles related to R Statistical Programmer jobs in Arkansas?

For R Statistical Programmer jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching R Statistical Programmer jobs in Arkansas look for?

The top searched job categories for R Statistical Programmer jobs in Arkansas are:

R Statistical Programmer jobs near you
Infographic showing various R Statistical Programmer job openings in Arkansas as of September 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $121,796 per year, or $58.6 per hour.

Data Scientist (Statistician) - Direct Hire

Fayetteville, AR • On-site

Criminal Investigation & Law Enforcement | IRS Careers
Public Administration • 10K+ employees
Learn more about Criminal Investigation & Law Enforcement | IRS Careersexternal

$125K/yr

Full-time

Posted 12 days ago

Internal Revenue Service rating

7.3

Company rating: 7.3 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

177th of 299 rated public sector bodies

Job description

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

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications: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 closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education: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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