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Statistics Programmer Jobs in Arkansas (NOW HIRING)

Sanhua

Quality Engineer

Springdale, AR · On-site

$63K - $82K/yr

Lead the implementation and analysis of Statistical Process Control (SPC) to monitor process ... Qualifications BS in Mechanical Engineering, Industrial Engineering or a related field Minimum of 3 ...

Varsity Tutors

Machine Learning Tutor

Fort Smith, AR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Varsity Tutors

Machine Learning Tutor

Fayetteville, AR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Varsity Tutors

Machine Learning Tutor

Bentonville, AR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Varsity Tutors

Machine Learning Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Murphy USA

Manager of Data Science

El Dorado, AR · On-site

EDUCATION AND EXPERIENCE Bachelor's degree or graduate degree, in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics. 6 to 8 years of related experience ...

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Statistics Programmer information

What are Statistics Programmers?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do Statistics Programmers typically collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a Statistics Programmer, and why are they important?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in Arkansas? For Statistics Programmer jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Statistics Programmer jobs in Arkansas look for? The top searched job categories for Statistics Programmer jobs in Arkansas are:
Statistics Programmer jobs near you

Quality Engineer

Sanhua

Springdale, AR • On-site

$63K - $82K/yr

Full-time

Re-posted yesterday

Job description

To be the key technical authority for process quality and customer issue resolution within assembly operations. This role is critical to ensure manufacturing processes are capable and stable, and that any customer concerns are addressed with urgency and effectiveness. The ideal candidate will be a problem-solver who thrives on the production floor, making efforts to prevent defects, reduce variation, and drive continuous improvement.
Responsibilities
  1. Serve as the primary quality liaison to the production assembly line, providing real-time support and expertise.
  2. Develop, implement, and audit Control Plans, Standardized Work Instructions, and visual aids for the assembly process.
  3. Lead the implementation and analysis of Statistical Process Control (SPC) to monitor process stability and capability.
  4. Conduct Layered Process Audits (LPA) to ensure strict adherence to defined processes on the shop floor.
  5. Perform Measurement System Analysis (MSA) for inspection and testing equipment to ensure data integrity.
  6. Act as the lead technical interface for customer quality issues, managing communication and ensuring timely updates.
  7. Lead and document robust root cause analysis and corrective & preventive actions (CAPA) for both internal and external quality failures using disciplined methods (e.g., 8D, 5-Why, Fishbone Diagram).
  8. Prepare and submit timely 8D reports or other customer-required documentation, ensuring they are thorough and professional.
Qualifications
BS in Mechanical Engineering, Industrial Engineering or a related field
Minimum of 3 years of experience in a Quality Engineering role within a high-volume manufacturing environment, automotive industry experience is mandatory
Proven, hands-on experience in root cause analysis (8D methodology is a must) and Statistical Process Control (SPC)
Strong knowledge of IATF 16949 core tools, especially Control Plan, FMEA, MSA, and SPC
Excellent communication and interpersonal skills, with the ability to effectively interact with production operators, management, and external customers
A data-driven and results-oriented mindset with a strong sense of urgency.

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