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Data Scientist R Remote Jobs in Raleigh, NC (NOW HIRING)

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big ...

Data Engineer #4885

Durham, NC

$110K - $132K/yr

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... For more information, please visit grail.com As a Senior Data Engineer on the Operational ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI * Performance ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI * Performance ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI * Performance ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

Work with analysts and their data sets in SQL, Python, R to optimize and troubleshoot ways to ... S. or foreign equivalent) in Computer Engineering, Computer Science or related field and five (5) ...

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Data Scientist R Remote information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist r remote jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data scientist r remote in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What cities near Raleigh, NC are hiring for Data Scientist R Remote jobs? Cities near Raleigh, NC with the most Data Scientist R Remote job openings:

Principal Data Scientist

Red River

Raleigh, NC • On-site, Remote

$147K - $243K/yr

Full-time

Posted 23 days ago


Job description

*Telecommuting role to be performed anywhere in the U.S.

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.

What You Will Do:

  • Participate in end-to-end development, from requirements gathering to validation and implementation.
  • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
  • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
  • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

What You Will Bring:

  • Bachelor\'s degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.
     

#LI-DNI

The salary range for this position is $147,470 - $243,350/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We\'re a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.