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Temporary R Programmer Jobs in North Carolina (NOW HIRING)

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner ...

Project Superintendent

Greensboro, NC · On-site

$100 - $140/hr

R-100589The Christman Company** ****Build More with Your Career at Christman**Are you interested in ... Bachelor's Degree in Construction Management, Civil Engineering, or related field.* Minimum five ...

New

Temps pleinposted on: Publié hiertime left to apply: Date de fin : 11 juillet 2026 (Il reste 2 ... R\_1498736**Work Location:**Charlotte, Caroline du Nord, États-Unis d'Amérique**Hours:**40**Pay ...

Final Sewing Inspector

Claremont, NC · On-site

$14.75 - $18.50/hr

If you have a background in distribution, manufacturing, engineering, transportation, finance ... 1,500 seasonal/temporary associates in Mississippi * Sutter Street Manufacturing upholstery ...

Senior Data Analyst

Greensboro, NC · On-site

$83K - $105K/yr

Collaborating with information architects, data engineers, and business stakeholders to identify ... Experience with Python or R for data analysis. Ability to work independently, prioritize work, and ...

Showing results 41-60

Temporary R Programmer information

What is a temporary R programmer?

Temporary R Programmers are professionals hired on a short-term basis to perform programming tasks using the R language, typically for data analysis, statistical modeling, or data visualization projects. They may work on specific projects, help with data cleaning, or support research and development teams. Their contracts are usually limited in duration and may be extended based on project needs. Temporary R Programmers often work in academic, healthcare, finance, or tech settings where R programming expertise is required for a set period.

What types of projects or tasks can I expect to work on as a temporary R programmer, and how is my work typically integrated with the broader team?

As a Temporary R Programmer, you'll often be tasked with data cleaning, statistical analysis, and generating reports or visualizations using R. You might work on short-term research projects, contribute to automating data processing pipelines, or assist in updating existing codebases. Collaboration is common—you'll likely interact with data scientists, analysts, or domain experts to understand project requirements and ensure your outputs align with team goals. Clear communication and the ability to quickly adapt to new datasets or coding standards are key for success in this fast-paced, project-driven environment.

What are the key skills and qualifications needed to thrive as a temporary R programmer, and why are they important?

To thrive as a Temporary R Programmer, you need strong programming skills in R, a background in statistics or data science, and experience with data manipulation and analysis. Familiarity with RStudio, version control systems like Git, and possibly packages such as tidyverse or Shiny is typically required. Strong problem-solving, attention to detail, and effective communication help you deliver accurate results and collaborate with team members. These skills and tools are crucial for efficiently analyzing data and supporting project objectives within tight timelines.

What is the difference between Temporary R Programmer vs Data Analyst?

AspectTemporary R ProgrammerData Analyst
CredentialsProficiency in R, possibly some programming certificationsStatistical or data analysis background, often with R, SQL, or Excel skills
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed by companies needing specialized programming for data tasksUsed across industries for interpreting data and generating reports

The main difference is that a Temporary R Programmer focuses primarily on coding and programming tasks in R for specific projects, while a Data Analyst interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but the Temporary R Programmer is more specialized in programming, often working on technical tasks for limited periods.

What are the most commonly searched types of R Programmer jobs in North Carolina?

The most popular types of R Programmer jobs in North Carolina are:

What are popular job titles related to Temporary R Programmer jobs in North Carolina?

For Temporary R Programmer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Temporary R Programmer jobs in North Carolina look for?

The top searched job categories for Temporary R Programmer jobs in North Carolina are:

What cities in North Carolina are hiring for Temporary R Programmer jobs?

Cities in North Carolina with the most Temporary R Programmer job openings:

Decision Scientist III

Truist

Winston Salem, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Act as an individual contributor, independently driving analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will support consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. As a Senior Decision Scientist, act as a force multiplier, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
2. Partner on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
3. Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers. Maximize relationships and build trust with partners while supporting efforts aligned to LOB and company goals.
4. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
2. Bachelor's degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
5. Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact
6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
7. Experience in managing multiple projects with tight deadlines in a collaborative environment to drive maximum impact
8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques with business partners
9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Preferred Qualifications:
1. Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering

The annual base salary for this position is $120,000 - $150,000.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019