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Internship Data Science R Jobs in Colorado (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

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

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 ...

Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies. * Experience with end-to-end data science workflows, including data preparation ...

New

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 ...

... science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization. * Proficiency in programming and analytical tools such as Python, R ...

New

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

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

An advanced degree in Data Science, Analytics or a related disciplineAt least 7 years of modeling ... Proficiency with query languages such as SQL, Hive or Pig and analysis languages like R or Python ...

An advanced degree in Data Science, Analytics or a related disciplineAt least 7 years of modeling ... Proficiency with query languages such as SQL, Hive or Pig and analysis languages like R or Python ...

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

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

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

$112K - $257K/yr

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

... 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, Lead

Aurora, CO · On-site

$113 - $257/hr

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 ...

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Showing results 1-20

Internship Data Science R information

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What are the most commonly searched types of Data Science R jobs in Colorado?

The most popular types of Data Science R jobs in Colorado are:

What cities in Colorado are hiring for Internship Data Science R jobs?

Cities in Colorado with the most Internship Data Science R job openings:

Environmental Data Scientist

Lynker Corporation

Boulder, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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