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R Statistical Programmer Jobs in Arkansas (NOW HIRING)

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)

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

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 ...

Leverage statistical analysis tools, including capability and repeatability studies (Gauge R&R), to ... Bachelor's degree in Engineering or a related technical field. * Minimum of 7-10 years of ...

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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 Jul 19, 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 job?

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 are the key skills and qualifications needed to thrive in the R Statistical Programmer position, and why are they important?

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 does a typical day look like for an R Statistical Programmer?

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 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:
Analytics Manager (SQL, R/Python)

Analytics Manager (SQL, R/Python)

TriOptus LLC

Bentonville, AR • On-site

Contractor

Posted 19 days ago


Job description

Description:
  • Responsible for defining, enforcing and promoting policies and programs to ensure best in class Customer Experience and hence drive Customer Satisfaction across our marketplace business. Core Functions include: - Design and build reports, scorecards and dashboards - Generate insights, trends and actionable recommendations, leading to implementation of initiatives and projects - Ability to build relationships and work cross functionally within partners teams (including Sales, Media Insights, Marketing teams)

Additional Job Details
  • This role requires an exceptional individual who is intellectually curious, analytical, enthusiastic, detail-oriented, and a self-starter to join our team as an Advanced Analytics Manager. This role is a highly visible individual contributor position central to the continued growth, efficiency, and success of the Client Connect team. The role will have broad exposure across Analytics, Sales and Marketing teams within Client Connect. The ideal candidate will have a strong background in research methodology, statistics, and data analytics with a deep understanding of the retail/media industry.

Role Specific Responsibilities
  • Collaborate with theClient Connect Sales and Marketing teams for the development, execution and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities
  • Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders
  • Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys
  • Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis and translating data into meaningful insights and actions.
  • Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what clearly for Client Connect advertisers
  • Support development of executive level presentations and perspectives
  • Identify gaps and opportunities for improving existing data sources and engage with broader
  • Client teams to acquire and summarize these sources within the Client Connect environment
  • Support the Sales/Marketing teams in managing day-to-day operating activities and special projects

Basic Qualifications
  • Bachelor's degree in statistics, mathematics, economics, operations research, marketing analytics, or any related quantitative field AND 3-5 years of experience in analytics, consulting, retail, media, and/or other relevant industries.
  • MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments
  • Strong programming skills in R/Python
  • Must have hands on data analytics experience
  • Practical experience in mining, analyzing and interpreting data through various statistical
  • techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning)
  • Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint)
  • Experience in developing and presenting strategic, action-oriented oral & written
  • communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience.

Preferred Qualifications
  • Master's Degree
  • Proficiency in BI Tools (e.g. Tableau, Power BI, Omniture/Adobe Analytics)
  • Self-starter looking to develop and apply analytical frameworks to help solve complex open- ended business questions with relevant data.
  • A good balance of strong analytical skills and thought leadership
  • Thrives under pressure, balancing multiple workstreams and priorities
  • Team player who can thrive in fast-paced, results-oriented environment.
  • Trust based, strong relationship builder with internal and external partners
  • Interesting, multi-faceted personality who can deliver 5-star output and can also have FUN
  • at work
  • Familiarity with Ad Servers, DSPs, DMPs, onsite & offsite targeting, & identity graphs a plus

Required Skills : Python,SQL
Basic Qualification :
Additional Skills : Software Developer,Database Developer
Background Check : No
Drug Screen : No