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Temporary Data Scientist Machine Learning Jobs in Colorado

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 help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

Capital Rx

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

The Data Scientist will analyze complex data using statistical analysis, programming, and data ... Owns predictive modeling, experimentation, machine learning analytics, and AI-enabled analytics ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Product Pulse is seeking a Data Scientist to help us unlock the value in our data. WHAT YOU NEED TO ... Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and communication ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help ... In this role, you will use advanced analytics and machine learning models to uncover trends and ...

Agile Defense

Data Scientist

Colorado Springs, CO

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent systems that power ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent systems that power ...

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

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 ...

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Temporary Data Scientist Machine Learning information

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Colorado? The most popular types of Data Scientist Machine Learning jobs in Colorado are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Colorado? For Temporary Data Scientist Machine Learning jobs in Colorado, the most frequently searched job titles are:
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Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Principal Data Scientist (TS/SCI with Polygraph Required)

DeNOVO Solutions

Aurora, CO

$150K - $190K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Position: Senior Data Scientist
Location: Aurora, CO
Clearance: TS/SCI with CI Polygraph
Support Emerging Mission Needs and Help Shape DeNOVO’s Data Science Capability

DeNOVO Solutions is seeking a Senior Data Scientist to help develop, refine, and strengthen our data science and mission-focused technical capabilities. This is a unique opportunity for a senior-level data scientist with a strong background in applied machine learning, data engineering, software development, secure deployment environments, and technical leadership. The ideal candidate will be comfortable working across research, development, architecture, deployment, and stakeholder engagement while helping shape practical AI/ML solutions for emerging mission needs.

Why You’ll Love This Role:
  • Help develop and refine DeNOVO’s broader data science capability
  • Work closely with DeNOVO’s CEO in a highly visible role focused on capability growth and technical direction
  • Apply advanced data science, machine learning, data engineering, and software development experience to emerging mission needs
  • Help shape practical AI/ML solutions that support mission-focused opportunities
  • Work in a hands-on role that blends research, solution design, implementation, deployment, and stakeholder collaboration
A Day in the Life:
  • Help develop and refine DeNOVO’s data science capability
  • Research, build, evaluate, and deploy machine learning and AI-enabled applications
  • Design and implement data science solutions that align with user needs, mission goals, and technical objectives
  • Communicate with technical and non-technical stakeholders to understand requirements, data landscapes, and solution goals
  • Provide technical recommendations to ensure data science and AI/ML solutions are practical, scalable, and aligned to stakeholder needs
  • Develop and support machine learning, generative AI, and LLM-based applications where applicable
  • Support semantic search, summarization, text extraction, classification, embedding analysis, and natural language processing use cases
  • Build scalable data pipelines and support data engineering workflows
  • Develop backend services, APIs, microservices, and data-driven applications
  • Support deployment of software and data science applications in commercial cloud and secure environments
  • Use containerization and orchestration technologies to package, deploy, and manage software components
  • Support MLOps, DevOps, and GitOps practices to improve repeatability, deployment efficiency, and lifecycle management
  • Develop visualizations, dashboards, and analytical tools to help communicate insights and recommendations
  • Collaborate with leadership, engineers, and stakeholders to identify opportunities for data science, automation, and AI/ML capability growth
  • Provide technical leadership, mentoring, and guidance to other technical contributors as needed
  • Create documentation, technical recommendations, and capability-development materials to support long-term growth
What You Bring to the Table:
  • Senior-level experience in data science, data engineering, machine learning, and software development
  • Experience researching, building, evaluating, and deploying machine learning and AI-enabled applications
  • Strong background with applied machine learning, including supervised and unsupervised learning approaches
  • Experience with generative AI, large language models, RAG, semantic search, summarization, text extraction, and NLP-related use cases
  • Experience building scalable data pipelines and supporting data engineering workflows
  • Experience developing APIs, microservices, backend services, and data-driven applications
  • Experience deploying software or data science applications in commercial cloud and secure environments
  • Experience with containerization, orchestration, and modern deployment practices
  • Familiarity with MLOps, DevOps, GitOps, Agile/Scrum, and modern software development methodologies
  • Strong communication skills with the ability to work with technical and non-technical stakeholders
  • Ability to provide technical leadership, mentorship, and solution guidance in a hands-on environment
What You Need:
  • Experience: 15 years of experience in data science, data engineering, machine learning, software development, or a related technical discipline
  • Education: Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field preferred
  • Clearance: An active TS/SCI with CI Polygraph
Salary Range: $150,000.00 - $190,000.00 (Commensurate with experience)
Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.
About Us: DeNOVO Solutions. We make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent amp; skills equal to the larger companies.
Join Our Team! DeNOVO Solutions, LLC, a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB) dedicated to providing the best technical and professional services throughout the Intelligence Community (IC). We offer the following as part of our benefits package to all of our full-time employees:
  • Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
  • DeNOVO Paid Health Reimbursement Account (HRA)
  • 401k with 6% Match
  • 11 Paid Federal Holidays
  • 120 hours of Paid Time Off (PTO)
  • Company Outings and Trips
  • Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance
  • HomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home
DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.
Ready to Apply?
Join DeNOVO Solutions and help shape the data science capability supporting emerging mission-focused opportunities.

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