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

... Data Science, or other related quantitative fields with 10+ years relevant professional experience. * Professional experience with statistical software programs such as R, Python, SAS, or Stata.

Analyst, Data Exchange

Denver, CO · Remote

$76.80K - $121K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary: As a member of ... Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools * Track record of ...

Analyst, Data Exchange

Denver, CO · On-site +1

$76.80K - $121K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary: As a member of ... Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools * Track record of ...

Senior People Analytics Analyst

Denver, CO · On-site +1

$103.30K - $134.40K/yr

A Bachelor's degree in Data Science, Statistics, Computer Science, or a related field ... R, Python, or SPSS. * Demonstrated ability to interpret complex data and translate it into ...

GCP Manager

Denver, CO · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Senior Product Manager

Denver, CO · On-site +1

$130.20K - $171.90K/yr

We are proudly a distributed and remote-first company since inception with teams across 4 countries ... You'll work closely with engineering, design, and data science teams to deliver intelligent product ...

Senior Data Engineer

Denver, CO · On-site +1

$109.10K - $148.20K/yr

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Experience with R language preferred. * Extreme attention to detail and accuracy a must.

Senior Data Engineer

Denver, CO · Remote

$109.10K - $148.20K/yr

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Experience with R language preferred.  * Extreme attention to detail and accuracy a must. 

Medical Science Liaison

Denver, CO · On-site +1

$150K - $170K/yr

Remote USA $150,000--$170,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ... Link: -of-data-collection-california-residents/ Please be advised that Natera will reach out to ...

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Showing results 1-20

Remote Data Science R information

See Denver, CO salary details

$38.6K

$126.3K

$202.3K

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

As of May 31, 2026, the average yearly pay for remote data science r 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 the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What job categories do people searching Remote Data Science R jobs in Denver, CO look for? The top searched job categories for Remote Data Science R jobs in Denver, CO are:
What cities near Denver, CO are hiring for Remote Data Science R jobs? Cities near Denver, CO with the most Remote Data Science R job openings:
Principal Economist

Principal Economist

The Cadmus Group, Inc.

Boulder, CO • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Overview

What You'll Be Doing Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.

Who We Are

Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth. Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit cadmusgroup.com.

Responsibilities
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
Qualifications
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR 
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR 
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.

Desired Qualifications: 

  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.

Additional Information:

Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

The minimum starting salary for this position is $145,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.

We value the critical role safety and health protocols contribute to everyone's success at Cadmus and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.  

Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.

Learn more about Cadmus by visiting our website at:  cadmusgroup.com

Employment Type: OTHER