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Data Scientist R Remote Jobs in Denver, CO (NOW HIRING)

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

... data. Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates ... Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python ...

... data. Salary: $90k120K + bonus + benefits Location: 100% remote for US-based candidates ... Science or a related Field * 3-5 Years of Relevant job experience * SQL Required * R or Python ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities ... Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities ... Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Science or a related Field * 3-5 Years of Relevant job experience * SQL Required * R or Python ...

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Science or a related Field * 3-5 Years of Relevant job experience * SQL Required * R or Python ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

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Showing results 1-20

Data Scientist R Remote information

See Denver, CO salary details

$38.6K

$126.3K

$202.3K

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

As of Jun 11, 2026, the average yearly pay for data scientist r remote in Denver, CO is $126,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $140,000.00 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 Denver, CO? For Data Scientist R Remote jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Denver, CO look for? The top searched job categories for Data Scientist R Remote jobs in Denver, CO are:
Infographic showing various Data Scientist R Remote job openings in Denver, CO as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $126,332 per year, or $60.7 per hour.
Data Scientist

$108K - $158K/yr

Full-time

Posted 10 days ago


Job description

Summary
This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of Human Capital, Human Capital Strategy & Systems Group, Division of Workforce Analytics & Accountability.
As a Data Scientist, GS-1560-13, you will design, develop, and implement the analytical, statistical, and programming mechanisms necessary to collect, organize, analyze, and interpret unique and specialized human resources (HR) data sets.
Learn more about this agency
Duties
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  • Advises on workforce and HR data reporting.
  • Collects, organizes, analyzes, and interprets specialized HR data sets, including but not limited to recruitment, staffing, retirement, separations.
  • Collects, cleans, and analyzes data; creates visualizations; and develops and tests hypotheses using tools like SAS, R, or SPSS.
  • Uses business intelligence tools to generate reports and communicate statistical insights to non-technical audiences.

Requirements
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Conditions of employment
  • You must be a U.S. Citizen or National to apply for this position.
  • You will be subject to a background and suitability investigation.
  • Selective Service: Males born after December 31, 1959, must be registered or exempt from Selective Service - http://www.sss.gov.
  • One-year probationary period may be required.
  • If you are selected for this position, the documentation that you present for purposes of completing the Department of Homeland Security (DHS) Form I-9 will be verified through the DHS "E-Verify" System.
  • All Federal employees are required to have Federal salary payments made by direct deposit to a financial institution of their choice.

Qualifications
ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT.
Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from receiving further consideration.

In order to qualify for the GS-13, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include:
1) Experience leading the end-to-end data life-cycle, including data acquisition, integration, governance, analysis, and dissemination, to transform diverse data sources into actionable insights; 2) Experience leveraging advanced analytics and statistical modeling techniques (e.g., multivariate regression, predictive modeling, machine learning algorithms, or similar methods) to inform organizational strategy and guide data-driven decision-making; AND 3) Experience communicating complex analytical findings through clear, concise, and compelling narratives supported by data visualizations (e.g., dashboards, charts, and executive briefings) tailored to diverse stakeholder audiences.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education
Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements:
Basic Requirements:
  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
    or
  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Failure to submit a copy of your transcripts at the time of application WILL result in an ineligible rating. Please see "Required Documents" section below for what documentation is required at the time of application.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/12968505
Additional information
Bargaining Unit Position: No
Tour of Duty: Flexible
Recruitment Incentive: Not Authorized
Relocation Incentive: Not Authorized
Financial Disclosure: Not Required
Workplace Flexibility at CMS: This position has a regular and recurring reporting requirement to the CMS office listed in this announcement. CMS offers flexible working arrangements and allows employees the opportunity to participate in alternative work schedules at the manager's discretion.
The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced federal employees with selection priority over other candidates for competitive service vacancies. To be qualified you must submit the required documentation and be rated well-qualified for this vacancy. Click here for a detailed description of the required supporting documents. A well-qualified applicant is one whose knowledge, skills and abilities clearly exceed the minimum qualification requirements of the position. Additional information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website at www.opm.gov/rif/employee_guides/career_transition.asp.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.