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Predictive Modeler Jobs in Colorado (NOW HIRING)

You will provide technical direction on conceptual site models and assessment of geochemical systems, oversee data collection and analysis, lead predictive modeling efforts, and contribute to ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

Data Analyst

Denver, CO ยท On-site

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

Senior Analyst

Denver, CO ยท On-site

$90K - $119K/yr

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

Analyst

Colorado Springs, CO ยท On-site

$72K - $109K/yr

In this impactful role, you will combine statistical analysis, predictive modeling, and real estate valuation expertise to support fair, accurate, and equitable property assessments across the county.

Analyst

Colorado Springs, CO ยท On-site

$72K - $109K/yr

In this impactful role, you will combine statistical analysis, predictive modeling, and real estate valuation expertise to support fair, accurate, and equitable property assessments across the county.

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced statistical techniques. * You are excellent in Data Visualization. * You are good in using Cognos and ...

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Predictive Modeler information

See Colorado salary details

$10

$61

$87

How much do predictive modeler jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for predictive modeler in Colorado is $61.74, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $71.78 per hour, depending on experience, location, and employer.

How does a Predictive Modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are predictive modelers?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

What are the key skills and qualifications needed to thrive as a Predictive Modeler, and why are they important?

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.
What cities in Colorado are hiring for Predictive Modeler jobs? Cities in Colorado with the most Predictive Modeler job openings:
What are popular job titles related to Predictive Modeler jobs in CO? For Predictive Modeler jobs in CO, the most frequently searched job titles are:
Infographic showing various Predictive Modeler job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $128,414 per year, or $61.7 per hour.

ML / NLP DATA SCIENTIST (Relocation Huntsville, Alabama) with Security Clearance

Kforce Federal Solutions

Colorado Springs, CO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Senior Data Scientist โ€“ TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama Location: Huntsville, AL (Redstone Arsenal โ€“ Onsite Mโ€“F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly: Brenton Anderson ๐Ÿ“ง ๐Ÿ”— https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Mondayโ€“Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Brenton Anderson Technical Recruiter Kforce Government Solutions