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Data Science Degree Jobs in Colorado (NOW HIRING)

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Bachelor's degree in computer science, data analytics, computer engineering, information systems required * Experience hiring, leading, developing, and retaining talent * Demonstrated analytical ...

Master's degree preferred. * 5-8+ years of experience in data science, machine learning, and software engineering. * Experience with Full Stack AI assisted development and deployment. * Experience ...

Master's degree preferred. * 5-8+ years of experience in data science, machine learning, and software engineering. * Experience with Full Stack AI assisted development and deployment. * Experience ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Bachelors Degree Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments. Additional Experience: * Expert Python skills; heavy use ...

Required Qualifications Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, Economics, or another quantitative or analytical discipline. TS ...

Programs range from high school completion to bachelor's degrees, including English Language ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Scientist 2

Aurora, CO · On-site

$120K - $140K/yr

Associates degree with 5 years of relevant experience * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Doctorate degree OR Master's degree and 2 years of Data Science or Engineering experience OR Bachelor's degree and 4 years of Data Science or Engineering experience OR Associate's degree and 8 years ...

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Showing results 1-20

Data Science Degree information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do data science degree jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science degree 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 is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What cities in Colorado are hiring for Data Science Degree jobs?

Cities in Colorado with the most Data Science Degree job openings:

Infographic showing various Data Science Degree job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Data Science Graduate

Hewlett Packard Enterprise

Fort Collins, CO • Hybrid

Full-time

Posted 5 days ago


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 160 rated electronics manufacturers


Job description

Data Science GraduateThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role.Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data

into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

Participates in the analysis and validation of data sets/solutions/user experience.

Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

Supports the research, identification and delivery of data science solutions to problems.

Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Education and Experience Required:

Bachelors degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.

Typically 0-2 years experience.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#grads

Job:

Engineering

Job Level:

TCP_01For the Data Analyst position, (undergrad degree candidates): "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 66,800 - 126,000 in Colorado // 71,700 - 136,300 in Massachusetts // 71,700 - 145,300 in California // 62,900 - 145,300 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."
For the Data Scientist position, (master's degree candidates): "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 85,600 - 163,000 in Colorado // 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is July 6 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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