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Contractual Computer Science Artificial Intelligence Jobs in Colorado

GRVTY

Data Scientist 3

Colorado Springs, CO

... 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 ...

Cymertek

AI/ML Engineer

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Artificial Intelligence, Machine Learning, Data Science, Robotics, Electrical Engineering, Mathematics, Statistics ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... 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 ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

... 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 ...

Department of Human Services

Data Scientist

Denver, CO · On-site

$140K/yr

... learning and artificial intelligence to spot fraud and patterns in Medicare and Medicaid ... Mathematics, statistics, computer science, data science or field directly related to the position.

Paradigm

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

What You Need to Succeed: · Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience. · 4+ years of professional experience in software ...

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, or a related technical discipline. * Strong experience developing machine ...

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Contractual Computer Science Artificial Intelligence information

What is the difference between Contractual Computer Science Artificial Intelligence vs Contractual Data Scientist?

AspectContractual Computer Science Artificial IntelligenceContractual Data Scientist
Required CredentialsDegree in Computer Science, AI certificationsDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, research labs, startupsBusiness analytics, finance, healthcare sectors
Employer & Industry UsageDevelop AI models, algorithms, machine learning systemsAnalyze data, build predictive models, extract insights

Contractual Computer Science Artificial Intelligence roles focus on developing AI algorithms and systems, often requiring specialized certifications. In contrast, Contractual Data Scientists analyze data to inform business decisions. Both roles are common in tech-driven industries but differ in their core functions and skill sets.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Colorado? The most popular types of Computer Science Artificial Intelligence jobs in Colorado are:
What cities in Colorado are hiring for Contractual Computer Science Artificial Intelligence jobs? Cities in Colorado with the most Contractual Computer Science Artificial Intelligence job openings:
Contractual Computer Science Artificial Intelligence jobs near you

Data Scientist 3

GRVTY

Colorado Springs, CO

Full-time

Re-posted 28 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:

  • 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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