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Data Scientist Research Associate Jobs in Colorado

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of ... Research, or Computer Science or a degree in a related field (Computer Information Systems ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

$100 - $160/hr

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics ...

Cymertek

Data Scientist

Aurora, CO · On-site

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist ...

Cymertek

Data Scientist

Aurora, CO · On-site

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive ...

Office of Governmentwide Policy

Data Scientist

Lakewood, CO · On-site +1

$108K - $158K/yr

Summary As a Data Scientist, you will serve as a subject matter expert and advisor in the highly ... Research and design presentations and interpretations of analytical outputs tailored to specific ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to ... Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to ... Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI ...

Booz Allen Hamilton

Data Scientist, Lead

Aurora, CO

$112K - $257K/yr

Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll ...

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Data Scientist Research Associate information

What are the key skills and qualifications needed to thrive as a data scientist research associate?

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What is a data scientist research associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

What are some typical challenges faced by data scientist research associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.
What are the most commonly searched types of Data Scientist Research jobs in Colorado? The most popular types of Data Scientist Research jobs in Colorado are:
What are popular job titles related to Data Scientist Research Associate jobs in Colorado? For Data Scientist Research Associate jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Scientist Research Associate jobs in Colorado look for? The top searched job categories for Data Scientist Research Associate jobs in Colorado are:
Data Scientist Research Associate jobs near you
Infographic showing various Data Scientist Research Associate job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist 3

GRVTY

Colorado Springs, CO • On-site

Full-time

Re-posted yesterday

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:

  • Active TS/SCI w/ poly
  • 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.

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