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Data Science Associate Jobs in Colorado (NOW HIRING)

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site

$103K - $165K/yr

Preferred majors: hard sciences, mathematics, engineering, data science, finance, business ... Microsoft Certified: Power BI Data Analyst Associate (PL-300) * Microsoft Certified: Fabric ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site +1

$103K - $130K/yr

Preferred majors: hard sciences, mathematics, engineering, data science, finance, business ... Microsoft Certified: Power BI Data Analyst Associate (PL-300) * Microsoft Certified: Fabric ...

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All JobsData Science Associate JobsData Science Associate Jobs in Colorado

Data Science Associate information

See Colorado salary details

$60.5K

$71.5K

$135.6K

How much do data science associate jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data science associate in Colorado is $71,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $62,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 are popular job titles related to Data Science Associate jobs in Colorado? For Data Science Associate jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Colorado look for? The top searched job categories for Data Science Associate jobs in Colorado are:
What cities in Colorado are hiring for Data Science Associate jobs? Cities in Colorado with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $71,544 per year, or $34.4 per hour.
Sr. Data Scientist with Security Clearance

Sr. Data Scientist with Security Clearance

Applied Network Solutions

Aurora, CO • On-site

$100K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 hours ago

Job description

Who we are: At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 25 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations. What we do: Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation’s toughest challenges and our ability to exceed expectations. Why ANS: At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let’s ensure today is safe and tomorrow is smarter. Requirements:
Active TS/SCI clearance with Polygraph
A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) Benefits:
ANS offers excellent compensation along with a generous benefits package to include: Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance
Supplemental Whole Life Insurance
Lucrative Referral Bonus Program
Annual Allowance for ANS Swag
Potential for Paid Overtime
Flexible Work Schedules Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability. As required by local law, Applied Network Solutions, Inc. provides reasonable salary ranges of compensation for work performed in applicable states. Ranges are not a guarantee of compensation and depend on a variety of factors, including but not limited to contractual requirements, work location, years of experience, skill set, and education. Overtime is not guaranteed for this position. The anticipated pay range for this position is $100,000.00 - $165,000.00 USD.

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