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Predictive Modeler Jobs in Colorado (NOW HIRING)

Cymertek

Data Scientist

Aurora, CO · On-site

Develop predictive models * Communicate data findings clearly * Design and implement algorithms * Ensure data quality and integrity * Collaborate with cross-functional teams REQUIRED SKILLS

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

DEEP DIVE INTO THIS ROLE As a Data Scientist, you'll analyze large datasets, develop predictive models, and work with engineering teams to integrate your solutions into production. Key ...

DW Simpson

Associate Actuary - REMOTE

Denver, CO · On-site

$115/hr

Innovative P&C client is seeking a talented Associate Actuary who will be responsible for executing complex actuarial analyses in pricing, reserving, and predictive modeling. The ideal candidate ...

DW Simpson

Associate Actuary - REMOTE

Denver, CO · On-site

$115/hr

Innovative P&C client is seeking a talented Associate Actuary who will be responsible for executing complex actuarial analyses in pricing, reserving, and predictive modeling. The ideal candidate ...

DW Simpson

Associate Actuary - REMOTE

Denver, CO · Remote

$115/hr

Innovative P&C client is seeking a talented Associate Actuary who will be responsible for executing complex actuarial analyses in pricing, reserving, and predictive modeling. The ideal candidate ...

DW Simpson

Associate Actuary - REMOTE

Denver, CO · Remote

$115/hr

Innovative P&C client is seeking a talented Associate Actuary who will be responsible for executing complex actuarial analyses in pricing, reserving, and predictive modeling. The ideal candidate ...

EchoStar

Senior Data Scientist

Englewood, CO

$96K - $137K/yr

Enhance network efficiency by developing high-accuracy predictive models for churn prevention, anomaly detection, and time-series forecasting * Maintain enterprise model integrity and long-term ...

In Tandem

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

As our Product Data Scientist , you'll bring rigorous behavior analysis and predictive modeling to how our apps understand and serve our members - partnering closely with Product and Finance to turn ...

Capital Rx

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

Owns predictive modeling, experimentation, machine learning analytics, and AI-enabled analytics that improve operational efficiency, product performance, and healthcare outcomes. Position ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

Responsibilities : • Analyze large datasets • Build predictive models • Design data-driven solutions • Present insights to stakeholders • Clean and preprocess raw data • Collaborate with ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

Responsibilities : • Analyze and interpret complex data • Develop predictive models • Communicate data findings clearly • Design and implement algorithms • Ensure data quality and integrity ...

Woodward, Inc.

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Develop Predictive Models: Designs and implements statistical models and machine learning algorithms to analyze complex datasets and generate actionable insights. * Data Processing and Management:

Woodward, Inc.

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Develop Predictive Models: Designs and implements statistical models and machine learning algorithms to analyze complex datasets and generate actionable insights. * Data Processing and Management:

Woodward

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Develop Predictive Models: Designs and implements statistical models and machine learning algorithms to analyze complex datasets and generate actionable insights. * Data Processing and Management:

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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 Aug 4, 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 is a predictive modeler?

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:
Predictive Modeler jobs near you
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.

Manager, GTM Strategic Intelligence & Advanced Analytics

Klaviyo

Denver, CO • On-site

$97K - $119K/yr

Other

Posted 28 days ago

Job description

Summary

The Manager/Sr. Manager, GTM Strategic Intelligence & Advanced Analytics will help further Klaviyo's strategic intelligence capability for the Go-to-Market (GTM) organization. This role sits within GTM Strategy & Operations, reporting to the Head of GTM Strategic Intelligence & Analytics, and serves as an analytical thought partner to Executive Leadership, Sales, Customer Success, and Revenue Operations, by transforming complex data into predictive insights, strategic recommendations, and executive decision support.

You will develop the analytical frameworks, predictive & scenario models, AI-enabled insights, and executive narratives that shape how Klaviyo grows revenue, retains customers, allocates investments, and evolves its GTM strategy. 

The ideal candidate is intellectually curious, strategically and analytically minded, proactive in seeking solutions to challenging problems, and highly focused on driving strategic decision making. Success in this role requires exceptional business acumen, deep analytical expertise, executive communication skills, and strong technical capabilities across AI-enabled analytics. 

How You'll Make a Difference

Drive Strategic Decision-Making

  • Serve as a trusted advisor to GTM and Executive Leadership, translating complex business performance data into actionable recommendations, driving strategic analytics and supporting initiatives that shape the growth trajectory of Klaviyo
  • Develop executive narratives, monthly and quarterly business reviews, strategic planning materials, business cases, and GTM strategic investment analyses that influence company priorities.

Build Predictive Intelligence

  • Create predictive models and scenario analyses that identify revenue opportunities, customer risk, capacity needs, and future business performance.
  • Develop measurement frameworks that evaluate the impact of GTM, Product, AI, Sales, and Customer Success initiatives.

Deliver GTM & Customer Insights

  • Deliver high impact strategic and root cause analytics across operations and the customer lifecycle, highlighting insights that improve new business growth, customer retention, revenue growth, territory and quota strategy, resource allocation, and operating performance.
  • Dissect trends, quantify opportunities, and undertake customer and driver based journey analytics to support business planning & strategic decision making within GTM
  • Partner with Sales, Customer Success, Revenue Operations, and Product teams to shape GTM strategy and operations frameworks through data-driven recommendations.

Scale Strategic Intelligence

  • Build scalable analytical frameworks, AI-enabled insights, and automations that improve forecasting, planning, executive decision-making, and organizational effectiveness.
  • Partner with Product Analytics, Data Science, Data Engineering, GTM & Revenue Operations to operationalize advanced analytics and establish GTM Strategic Intelligence as a core capability across the business.
Who You Are
  • 7+ years of experience in Analytics, Business Intelligence, Data Science, Revenue Operations, or Strategic Planning within a SaaS or technology company.
  • Demonstrated experience influencing executive leadership through data-driven recommendations and strategic analysis.
  • Strong business acumen with experience supporting revenue growth, forecasting & modeling, customer & pipeline analytics, or GTM strategy.
  • Proven ability to translate complex analytical findings into executive-ready narratives and business recommendations.
  • Experience leading ambiguous, cross-functional strategic initiatives from concept through execution.
  • Comfortable operating independently while partnering across , Sales, Customer Success, Data Science, Product, Finance, and Executive Leadership.
Technical Qualifications
  • Expert SQL with experience building complex analytical queries and scalable data models
  • Deep experience with Snowflake or modern cloud data warehouses
  • Strong experience with Python and methodologies for statistical analysis, predictive modeling, and automation
  • Experience building executive dashboards using Tableau, ThoughtSpot, Power BI, Streamlit, or similar BI platforms
  • Experience working with Git/GitHub and collaborative development workflows
  • Advanced Excel / Google Sheets modeling skills
  • Experience developing predictive models, statistical inference, experimentation, or machine learning
  • Familiarity with AI platforms and LLM tooling including ChatGPT, Claude, Cursor, OpenAI APIs, LangChain, or similar technologies
  • Experience building workflow automations using tools such as n8n, Airflow, or similar orchestration platforms

Apply