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Data Scientist R Remote Jobs in Fargo, ND (NOW HIRING)

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

W&M Environmental Group

Air Modeler

Fargo, ND · Remote

$80K - $119K/yr

... data processing. Programming and scripting experience in Python, R, BASH, or similar to automate ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

Ulteig

Survey Technician

Fargo, ND · On-site +1

Associate of Science degree in Surveying or equivalent preferred, but not required * Land Surveyor ... station, data collectors) preferred but not required * Experience operating remote sensing ...

ITW

National Sales Manager

ND · Remote

These talented individuals, many of whom have specialized engineering or scientific expertise ... The role is a remote position; location base will be reviewed as this position covers all regions ...

All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Fargo, ND

Data Scientist R Remote information

See Fargo, ND salary details

$36.8K

$120.5K

$192.9K

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

As of Jul 21, 2026, the average yearly pay for data scientist r remote in Fargo, ND is $120,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 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 are popular job titles related to Data Scientist R Remote jobs in Fargo, ND? For Data Scientist R Remote jobs in Fargo, ND, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Fargo, ND look for? The top searched job categories for Data Scientist R Remote jobs in Fargo, ND are:
Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in Fargo, ND as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,508 per year, or $57.9 per hour.

AI/ML Data Contributor

TSMG

Fargo, ND • Remote

Part-time

Re-posted 23 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.