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Junior R Statistical Programmer Jobs in Columbia, SC

Zeus

Continuous Improvement Specialist

Columbia, SC · On-site

$64K - $82K/yr

Education: * Bachelor's in Engineering, Manufacturing, Operations Management, or related field ... Strong capability in root cause analysis, DOE, GR&R, SPC, and process capability; skilled at ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Pwc

CTIO AI Engineering Manager

Columbia, SC

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

Data Strategy-Manager

Columbia, SC

$99K - $232K/yr

You will leverage skills in data manipulation, visualisation, and statistical modelling to support ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

United Airlines

AWS Data Scientist

Columbia, SC · On-site

$103K - $128K/yr

... engineering to prepare datasets for modeling * Develop predictive models and statistical analyses using Python R or similar tools * Deploy monitor and optimize ML models in production environments ...

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Junior R Statistical Programmer information

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How much do junior r statistical programmer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for junior r statistical programmer in Columbia, SC is $24.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.67 per hour, depending on experience, location, and employer.

What are typical challenges a Junior R Statistical Programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

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

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are Junior R Statistical Programmers?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
What are the most commonly searched types of R Statistical Programmer jobs in Columbia, SC? The most popular types of R Statistical Programmer jobs in Columbia, SC are:
What are popular job titles related to Junior R Statistical Programmer jobs in Columbia, SC? For Junior R Statistical Programmer jobs in Columbia, SC, the most frequently searched job titles are:
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Junior R Statistical Programmer jobs near you
Infographic showing various Junior R Statistical Programmer job openings in Columbia, SC as of July 2026, with employment types broken down into 66% Full Time, 24% Part Time, and 10% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $51,871 per year, or $24.9 per hour.
Continuous Improvement Specialist

Continuous Improvement Specialist

Zeus

Columbia, SC • On-site

$64K - $82K/yr

Full-time

Re-posted yesterday

Job description

Job Summary 

The Continuous Improvement Specialist leads cross-functional initiatives to drive measurable improvements in cost, throughput, quality, and customer satisfaction. Acting as a change agent, this role applies Lean and Six Sigma methodologies to identify, analyze, and implement process improvements across multiple sites and functions. Responsibilities include standardizing processes, replicating best practices, and fostering a culture of continuous improvement in alignment with the Zeus Operating System (ZOS). The role collaborates with teams at all levels to optimize operations, reduce waste, and build organizational capability to achieve business objectives.

Education:

  • Bachelor's in Engineering, Manufacturing, Operations Management, or related field

Experience:

  • 5+ years of hands-on experience in continuous improvement, operational excellence, or related manufacturing leadership roles.
  • Demonstrated success leading high-impact projects with measurable outcomes (cost savings, yield improvements, scrap reduction, OEE gains).
  • Experience working across multiple facilities or functions preferred.

Skills and Competencies:

  • Lean Six Sigma, Kaizen, VSM, TPM, 5S, FMEA Preferred
  • Analytics & Problem Solving: Strong capability in root cause analysis, DOE, GR&R, SPC, and process capability; skilled at extracting insights from large datasets and converting them into actionable improvements.
  • Data Visualization & Tools: Proficient in Minitab, Power BI, and Excel for statistical analysis, performance tracking, and presenting findings effectively to stakeholders.
  • Project Leadership: Demonstrated success leading cross-functional teams from project definition through execution and control; expertise in scope, resource planning, milestone tracking, risk assessment, and cost control. PMP certification a plus.
  • Change Management & Sustainability: Proven ability to integrate improvements into daily operations through control plans, leader standard work, and cultural adoption, ensuring long-term results.
  • Communication & Facilitation: Exceptional written, verbal, and presentation skills; comfortable engaging audiences from operators to executives; experienced in facilitating workshops, Kaizen events, and executive-level updates.
  • Leadership & Influence: Strong presence with the ability to coach, mentor, and drive cultural change while motivating teams to embrace structured problem solving and continuous improvement.

Certifications:

Six Sigma GB or BB preferred

Project Management Professional (PMP) preferred

  • Lead Projects: Deliver CI initiatives using Lean, Six Sigma, DMAIC, PDCA and other methodologies to optimize manufacturing processes, reduce inefficiencies, and enhance production capabilities.
  • Facilitate Cross-Functional Improvement: Organize and lead Kaizen events, value stream mapping, and rapid problem-solving workshops across production, engineering, quality, supply chain, and maintenance.
  • Capability Building: Mentor, coach, and train team members in Strategic Problem Solving and Six Sigma Principles.
  • Technical & Analytical Expertise: Apply Hypothesis testing, Regression, DOE, GR&R, SPC, and Process Capability analysis; leverage Minitab, Power BI, and Excel to validate results and ensure sustainability.
  • Business Alignment: Quantify project ROI, link initiatives to financial and strategic priorities, and provide KPI dashboards for leadership.
  • Sustainability: Ensure process improvements are maintained through control plans, leader standard work, and monitoring systems, with ongoing oversight and continuous refinement

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