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Data Science Associate Jobs in Colorado (NOW HIRING)

GRVTY

Data Scientist 3

Colorado Springs, CO

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

Required : • A bachelor's degree plus 3 years of recent specialized experience, OR, an associate ... science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94.87K - $158.12K/yr

... associates degrees, bootcamps, online training, professional certifications, self-teaching and more. Desired Qualifications: * M.S. or Ph.D. in computer science, statistics, applied mathematics, data ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94.87K - $158.12K/yr

... associates degrees, bootcamps, online training, professional certifications, self-teaching and more. Desired Qualifications: * M.S. or Ph.D. in computer science, statistics, applied mathematics, data ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94.87K - $158.12K/yr

... associates degrees, bootcamps, online training, professional certifications, self-teaching and more. Desired Qualifications: * M.S. or Ph.D. in computer science, statistics, applied mathematics, data ...

Agile Defense

Data Scientist

Colorado Springs, CO

... 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 ...

Raft

Data Scientist

Colorado Springs, CO

$115K - $180K/yr

Associate: Bachelor's degree with 2+ years of related experience or Master's degree. Works on ... Advanced degrees in data science, statistics, or related fields. * Experience with big data ...

Raft Company Website

Data Scientist

Colorado Springs, CO · On-site

$115K - $180K/yr

Associate: Bachelor's degree with 2+ years of related experience or Master's degree. Works on ... Advanced degrees in data science, statistics, or related fields. * Experience with big data ...

Walmart

Senior, Data Scientist

Denver, CO

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Vizio

Senior, Data Scientist

Denver, CO

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

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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 May 29, 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.

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.

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.

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.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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

Data Scientist 3

GRVTY

Colorado Springs, CO

Other

Posted 17 days ago

Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • Possess 2 or more of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • 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. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • 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. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: 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.
  • Active TS/SCI w/ poly

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