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Data Science Jobs in Colorado (NOW HIRING)

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

Innovating, exploring, and practicing the art of 'the possible' to uncover valuable data science opportunities and bring them to fruition. * Conducting research, designing, implementing, and ...

Innovating, exploring, and practicing the art of 'the possible' to uncover valuable data science opportunities and bring them to fruition. * Conducting research, designing, implementing, and ...

AI Data Scientist

Broomfield, CO · On-site

$95K - $125K/yr

The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive ...

Principal Data Scientist

Denver, CO · On-site

$129K - $183.20K/yr

Innovating, exploring, and practicing the art of 'the possible' to uncover valuable data science opportunities and bring them to fruition. * Conducting research, designing, implementing, and ...

$49.96K/yr

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 ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

AI and Data Science Engineer III

Denver, CO · On-site +1

$117.90K - $141.50K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

CO

$49.96K/yr

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 ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

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Data Science information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for data science in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
What cities in Colorado are hiring for Data Science jobs? Cities in Colorado with the most Data Science job openings:
Data Scientist

Full-time

Retirement

Posted 29 days ago


Job description

Company Description

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates.

At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together.

Job Description

About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. 

Qualifications

Required Skills:

  • 5+ years in Data Science.
  • Strong Python coding/scripting Skills. 
  • AWS CI/CD exposure.  
  • Ability to build models that can drive value of data. Deploy the data into AWS environment.
Additional Information

About the Company:
This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power.  This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match.

Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match 

Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer.

All your information will be kept confidential according to EEO guidelines.