2

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

Epic Clarity Data Analyst

Aurora, CO ยท On-site

$90K - $100K/yr

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

Data Analytics Engineer

Denver, CO ยท On-site +1

$77/hr

There may be an option for hybrid or remote. All candidates must be based in the United States. We ... Bachelor's or Master's degree in Computer Science, Data Science, Information Systems ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Senior Data Platform Engineer

Littleton, CO ยท Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Product Data Scientist

Denver, CO ยท On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

... remote option.) Job Summary We are seeking an Executive Director, Data Platforms to lead the ... Partner with analytics, data science, and product teams to understand requirements and remove ...

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO ยท On-site +1

$50K - $120K/yr

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO ยท On-site +1

$50K - $120K/yr

... and remote work options. Join a close-knit team that invests in your career and well-being. The Role Our client is seeking a Data Scientist to provide technical expertise in sustaining mission ...

Senior AI Product Manager

Denver, CO ยท On-site +1

$130K - $171K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Senior Data Engineer, Global

Denver, CO ยท On-site +1

$109K - $148K/yr

... remote. Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our ... Collaborate with business analysts, data scientists, and stakeholders across Human Resources ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

Senior Quantum Scientist

Boulder, CO ยท On-site

$126K - $166K/yr

... science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved ... We offer a hybrid work model, allowing for remote work a few days per week. Travel: Job ID: 1565 ...

next page

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 Jun 25, 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 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 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 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 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:

Director of Product Management, Weather and Climate

Spire

Boulder, CO โ€ข On-site, Remote

$241K - $253K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Spire Global is seeking a visionary and execution-focused Director, Product Management to lead product strategy for our Weather & Climate business unit. This senior leadership role is accountable for the full product lifecycle โ€” from market discovery and business case development through roadmap execution and commercial launch โ€” across our SaaS and DaaS portfolio.

Reporting to executive leadership, the Director will partner closely with Sales, Marketing, Customer Experience, Engineering, and Data Science teams to identify unmet industry needs, define differentiated solutions, and bring first-to-market products that generate durable revenue and competitive advantage. The ideal candidate combines deep domain expertise in meteorology, atmospheric science, or weather technology with the commercial instincts and leadership skills to shape a high-growth product portfolio.

Markets & Domains

The Director will own and evolve Spire's product strategy across the following markets:

  • Renewable Energy โ€” wind & solar forecasting
  • Energy Utilities โ€” grid reliability & outage risk
  • Energy & Commodity Trading โ€” weather-driven market signals
  • Smart Agriculture โ€” field-level agrometeorology
  • Soil Moisture Modeling & Remote Sensing
  • Government & Defense Weather Programs
  • Aviation Weather (nice to have)
  • Emerging Climate Risk & Resilience Markets
  • Insurance Risk Management โ€” weather-driven risk assessment & underwriting
  • Parametric Insurance Solutions โ€” index-based triggers & payout modeling

Key Responsibilities

Product Strategy & Roadmap

  • Define and own the multi-year product strategy and roadmap for Spire's Weather & Climate SaaS and DaaS portfolio, aligned with corporate growth objectives
  • Conduct continuous market research, competitive intelligence, and customer discovery to identify high-value industry problems and whitespace opportunities
  • Develop and prioritize product investment theses backed by rigorous business cases, financial modeling, and ROI analysis
  • Identify and execute first-to-market product opportunities that create competitive moats and expand Spire's addressable market

Product Development & Execution

  • Lead cross-functional product development from concept through general availability, partnering with engineering, data science, and design teams
  • Apply agile product development methodologies with structured stage-gate processes for new market entries
  • Define product requirements, acceptance criteria, and success metrics; hold teams accountable to delivery timelines and quality standards
  • Collaborate with the weather modeling team to integrate AI/ML modeling and toolsets into software products and services
  • Integrate Spire's GNSS-RO, GNSS-R, and Hyperspectral Microwave Sounding data into end user products and solutions, including ocean surface winds forecasts and soil moisture forecasts derived from GNSS-R
  • Champion the adoption of AI tools across the product management and software development lifecycles โ€” including AI-assisted roadmapping, requirements generation, code acceleration, automated testing, and documentation โ€” to increase team velocity and product output

Commercial & Go-to-Market Leadership

  • Partner with Sales to develop solution narratives, competitive positioning, pricing frameworks, and deal support for strategic accounts
  • Provide sales engineering support to the Sales team โ€” including technical demonstrations, proof-of-concept engagements, RFP/RFI responses, and solution scoping for complex enterprise opportunities
  • Collaborate with Marketing on product launch campaigns, industry event strategy, and demand generation content
  • Engage directly with enterprise customers and strategic prospects to validate roadmap direction, gather use-case requirements, and close feedback loops
  • Work with Customer Experience to monitor product adoption, retention risk, and NPS signals โ€” translating insights into product improvements
  • Build and maintain competitive intelligence frameworks to anticipate competitor moves and proactively flank with superior solutions

Leadership & Team Development

  • Lead, mentor, and grow a team of product managers across the Weather & Climate portfolio
  • Represent Weather & Climate product strategy to the executive team, board-level stakeholders, and external partners
  • Contribute to M&A evaluation, partnership diligence, and integration planning as the product subject matter expert

Required Qualifications

  • 8+ years of progressive product management experience with demonstrated ownership of commercial weather, meteorological, or atmospheric data products
  • Deep technical domain expertise in at least three of the following: numerical weather prediction (NWP), mesoscale meteorology, GNSS-RO atmospheric sounding, AI/ML-based forecasting, radar/satellite data processing, or climate modeling
  • Demonstrated experience adopting and scaling AI tools within product management and software development workflows โ€” such as AI-assisted product discovery, sprint planning, code generation, QA automation, or technical documentation โ€” to measurably accelerate delivery
  • Proven track record delivering SaaS and/or DaaS products from concept to full production in a B2B enterprise environment
  • Experience developing and presenting business cases with financial models, market sizing, build/buy/partner analysis, and executive-level approval
  • Demonstrated ability to synthesize customer and market intelligence into actionable product strategies that generate measurable revenue
  • Strong commercial instincts with hands-on experience partnering with Sales and Marketing to drive pipeline generation and customer retention
  • Experience applying agile product development methodologies in cross-functional engineering environments
  • Excellent executive communication skills โ€” written, verbal, and visual โ€” with ability to influence without authority across all organizational levels
  • Bachelor's degree in Meteorology, Atmospheric Science, Computer Science, Engineering, or a related technical discipline

Preferred Qualifications

  • Master's degree in Meteorology, Atmospheric Science, Data Science, or a related field strongly preferred
  • MBA or graduate business degree is a plus, particularly for candidates with a strong technical background seeking to deepen commercial and strategic acumen
  • Experience with aviation weather products, METARs/TAFs, turbulence/icing models, or aviation-specific forecasting platforms
  • Background in energy markets, commodity trading analytics, or agricultural technology products
  • Familiarity with space-based remote sensing, GNSS-RO, SAR, or satellite-derived data products
  • Experience at a data/analytics company with API-delivered data products (DaaS) and subscription SaaS business models
  • Prior people management experience with product teams of 3+ direct reports
  • Experience with competitive intelligence tools, PLG motions, or product-led sales enablement strategies

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licensesโ€”this is not something candidates need to have before applying. #LI-RK1

The anticipated base salary range for this position is listed below. Final base salary for this role will be based on the location, skills, experience and qualifications. In addition to base compensation, this role may be eligible for annual equity awards and our employee benefits program, including vacation, sick, and personal time off; optional medical, dental, vision, life, and disability coverage; a 401(K) plan; health and wellness reimbursement program; and participation in Spire's Employee Stock Purchase Plan.

Salary Range
$171,000โ€”$202,500 USD


Global Perks

๐Ÿ›ฐ๏ธ Name Your Satellite Program (NYSP)
๐Ÿš€ Launch Attendance
๐ŸŒด Generous Time Off Policy
๐ŸŽ“ Education Assistance Program
๐Ÿฅฐ Employee Assistance Program (EAP)
๐Ÿ“ˆ Employee Stock Purchase Program (ESPP)
๐Ÿ‘ฃ Family Leave
๐Ÿ’ช Fitness Reimbursement
๐Ÿงก Employee Referral Program
๐Ÿ‰ Healthy snacks & beverages in every office

About Spire

We improve life on Earth with data from space.

Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire's data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.



Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification.

Please take a moment to review Spire's Global Data Privacy Notice for Employees, Contractors, Candidates and Visitors, as well as Spire's Privacy Policy.



Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool).