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R Statistical Programmer Jobs in Arkansas (NOW HIRING)

micro1 AI

Director of Biostatistics

Fayetteville, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

micro1 AI

Director of Biostatistics

Little Rock, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

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

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

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

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

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 · 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 ...

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 Aug 24, 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 August 2026, with employment types broken down into 2% Internship, 82% Full Time, 6% Part Time, and 10% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $121,796 per year, or $58.6 per hour.

Senior Manager, Advanced Analytics - Credit Strategy & Analytics

Jobtailor

Bentonville, AR • On-site

$90 - $140/hr

Other

Posted 8 days ago

Job description

  • Develop and execute credit risk strategies, decisioning frameworks, and policies that enable the sustainable growth of Marketplace Seller Services while minimizing credit losses.
  • Partner cross-functionally with Product, Data Science, Seller Services, Finance, Billing, and Engineering to design, implement, and optimize scalable credit risk controls.
  • Lead complex, end-to-end initiatives to develop credit limits, prepay strategies, reserves, service-level controls, and early warning capabilities.
  • Leverage internal data, predictive models, and external risk signals to assess emerging risks, improve decision quality, and drive data-informed recommendations.
  • Monitor portfolio performance, evaluate strategy effectiveness, and continuously refine credit risk decisioning to balance seller growth with responsible risk management.
Requirements
  • Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years' experience in data analytics or related field.
  • Certificate in business analytics, data mining, or statistical analysis (preferred).
  • Statistical programming languages (for example, SAS, R) (preferred).
Core Competencies

Demonstrates expertise in developing and executing credit risk strategies and decisioning frameworks while leveraging data analytics to drive informed recommendations. Proficient in collaborating cross-functionally to optimize credit risk controls and monitor portfolio performance.

Highest-signal resume keywords
  • Credit Risk Strategy Development
  • Data Analytics Experience
  • Statistical Programming (SAS, R)
  • Cross-Functional Collaboration
  • Portfolio Performance Monitoring
ATS Optimization KeywordsHard Skills
  • Credit Risk Management
  • Data Analysis
  • Predictive Modeling
  • Decisioning Frameworks
  • Statistical Analysis
Soft Skills
  • Collaboration
  • Leadership
  • Communication
Certifications & Qualifications
  • Business Analytics Certificate
  • Data Mining Certificate
  • Statistical Analysis Certificate
Industry Keywords
  • Marketplace Seller Services
  • Credit Loss Minimization
  • Risk Management
  • Service-Level Controls
  • Early Warning Capabilities
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