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Data Science Jobs in Colorado (NOW HIRING)

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

Essential Job Functions Data Science Strategy & Model Development * Develop predictive and prescriptive models that support operational forecasting, capacity planning, energy optimization, and ...

Essential Job Functions Data Science Strategy & Model Development * Develop predictive and prescriptive models that support operational forecasting, capacity planning, energy optimization, and ...

Deloitte is a leading professional services firm, and they are seeking a Manager for their Data Science/Data Lake team. In this role, you will support the design and modernization of cyber data ...

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

Data Scientist

Aurora, CO · On-site

$112.80K - $257K/yr

You'll grow your skills in data science and shape the future of analytics by working in a collaborative environment to solve some of the Nation's hardest problems. We'll keep you sharp and moving ...

Data Scientist

Boulder, CO · On-site

$105K - $130K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

Responsibilities : • Work with stakeholders to identify business problems and formulate them as data science challenges. • Collect, clean, and explore large datasets to uncover trends and ...

Responsibilities : • Work with stakeholders to identify business problems and formulate them as data science challenges. • Collect, clean, and explore large datasets to uncover trends and ...

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 ...

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 ...

Our team leverages the latest developments and best practices in data science, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a ...

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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:

Manager of Data Science

BranchLab

Boulder, CO • On-site

$160K - $215K/yr

Full-time

Posted 19 days ago


Job description

Employee Location: Boulder, CO
Reporting To: VP of Data Science & AI
Job Type: Full-time, Hybrid in office Boulder, CO
Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship
ABOUT BRANCHLAB
BranchLab is building the future of healthcare commercialization.
BranchLab is a healthcare AI company focused on predicting health outcomes to improving how regulated organizations make decisions.
Our mission is to enable better healthcare decisions by applying AI in a way that is privacy-safe, rigorous, and designed for real-world use.
THE OPPORTUNITY
We are seeking a Data Science Manager to lead a team of data scientists and drive the development and deployment of innovative disease modeling approaches using rigorous statistical, epidemiological, and machine learning techniques. These models will be used for privacy-first pharmaceutical commercialization. The ideal candidate will have experience developing and deploying models into production, experience in a player-coach role turning innovative research projects into products, and the ability to evangelize data science and create vision and motivation. You will work closely with cross-functional leaders to define and execute on our product strategy.
KEY RESPONSIBILITIES
• Work with cross functional leadership to understand business needs and prioritize the most impactful projects to develop products that drive business impact
• Lead large-scale data science projects from planning to execution and delivery of productionized ML/AI models
• Build and retain a team of high performing data scientists
• Communicate about results and deliverables to internal and external stakeholders
• Research industry trends and standards to proactively drive areas of improvement
MINIMUM QUALIFICATIONS
• PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience)
• 7+ years of experience building machine learning or statistical models deployed in production environments
• 2+ years of management experience
• Experience working on healthcare claims and EHR data across a variety of therapeutic areas
• Strong SQL, Python, and best practices for developing code for software products
• Strong statistical and machine learning fundamentals
• Demonstrated ability to translate business priorities into data science products in cross-functional collaboration
• Excellent oral and written communication
PREFERRED QUALIFICATIONS
• Experience translating research into production to build novel deep learning models
WHY JOIN BRANCHLAB?
• Competitive salary + significant equity
• Gain hands-on experience at a fast-growing company, with clear opportunities for career growth
• Work alongside top-tier engineers, data scientists, and privacy experts
If you are a curious and analytical data scientist eager to work with privacy-first healthcare data, we'd love to hear from you.