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Temporary R Programmer Jobs in Rocky Mount, NC (NOW HIRING)

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate ...

Temporary R Programmer information

See Rocky Mount, NC salary details

$77.1K

$119.5K

$145.5K

How much do temporary r programmer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for temporary r programmer in Rocky Mount, NC is $119,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $134,400.00 per year, depending on experience, location, and employer.

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's the easiest coding job to get?

A temporary R programmer role is often considered accessible for those with basic programming skills and familiarity with R. Entry-level positions may require minimal experience and focus on data analysis or reporting tasks, making them easier to obtain compared to more specialized or senior roles.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Skills in data manipulation, statistical modeling, and proficiency with tools like RStudio increase employability, with many roles requiring experience in data visualization and machine learning.

Is R in high demand?

R programming skills are in high demand across industries such as data analysis, research, and finance, especially for roles involving statistical computing and data visualization. Employers seek professionals proficient in R for tasks like data cleaning, modeling, and reporting, often requiring knowledge of related tools like RStudio and packages such as ggplot2 and dplyr.

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 jobs can you get with R programming?

A Temporary R Programmer can find roles such as data analyst, statistical analyst, data scientist, or research analyst, often working in industries like healthcare, finance, or technology. These positions typically require strong statistical skills, proficiency in R, and the ability to handle large datasets, sometimes with experience in data visualization and reporting tools.

What are Temporary R Programmers?

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 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.
Fraud Data Scientist II

Fraud Data Scientist II

Truist

Wilson, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 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:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

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. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.


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. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%

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