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

Environmental Data Scientist

Boulder, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling. * A working sense of geospatial data science, including experience with GIS tooling and spatial ...

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling. * A working sense of geospatial data science, including experience with GIS tooling and spatial ...

Environmental Data Scientist

Boulder, CO

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling. * A working sense of geospatial data science, including experience with GIS tooling and spatial ...

Sr Data Scientist

Denver, CO · On-site

$115K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role involves leading complex data science projects focused on healthcare applications ... Familiarity with other programming languages (e.g., R, SQL). What We'll Provide: More than just pay ...

New

Data Scientist - Aurora, CO

Aurora, CO · On-site

$100K - $210K/yr

  • Medical

  • Retirement

  • PTO

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language. * Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra ...

Required : • Bachelor's degree in data science, Statistics, Mathematics, Engineering, Economics ... as Python, R, SQL, and data visualization platforms • Strong problem-solving and analytical ...

Data Scientist - Level 3

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use programming languages (e.g., Python, R) to manipulate and analyze large data sets * Design and implement machine learning, data science and advanced analytical algorithms * Provide statistical ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

  • Medical

  • Retirement

  • PTO

... science or analytics experience. * Proficiency in Python (or R) and SQL for data manipulation and analysis. * Experience applying statistical analysis, classification, regression, or clustering ...

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with ...

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with ...

Data Scientist

Aurora, CO

$80K - $250K/yr

  • Retirement

  • PTO

... Science fields. As we continue to grow at a rapid pace, we are seeking some amazing new ... Python, R) * Solid knowledge of statistics and probability, with demonstrated experience applying ...

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with ...

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

  • Medical

  • Retirement

  • PTO

... science, analytics, or related engineering experience. * Expert proficiency in Python (or R) for data manipulation, modeling, and analysis. * Experience developing and deploying machine learning ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL * Experience with ...

Data Scientist, Lead

Aurora, CO · On-site

$113 - $257/hr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the develop ment of algorithms leveraging R, Python, or SQL / NoSQL * Experience ...

Data Scientist, Consultant (Utilities)

Boulder, CO · On-site

$89K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do * Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL ...

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Showing results 1-20

Data Science R information

See Denver, CO salary details

$38.6K

$126.3K

$202.3K

How much do data science r jobs pay per year?

As of Aug 17, 2026, the average yearly pay for 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 a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Denver, CO?

The most popular types of Data Science R jobs in Denver, CO are:

What cities near Denver, CO are hiring for Data Science R jobs?

Cities near Denver, CO with the most Data Science R job openings:

Infographic showing various Data Science R job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $126,332 per year, or $60.7 per hour.

Environmental Data Scientist

Lynker Corporation

Boulder, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

Responsibilities

Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.
Qualifications

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: FULL_TIME