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Data Scientist Generative Ai Jobs in Colorado (NOW HIRING)

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. Required Qualifications • Bachelor's or Master's degree in Data Science, Computer ...

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. Required Qualifications • Bachelor's or Master's degree in Data Science, Computer ...

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding ...

Senior Data Scientist

Centennial, CO · On-site

$102K - $179K/yr

Develop and implement advanced machine learning, generative AI, natural language processing ... Build and deploy scalable, automated data science products and reusable analytic assets across ...

Senior Data Scientist

Englewood, CO · On-site

$102K - $179K/yr

Develop and implement advanced machine learning, generative AI, natural language processing ... Build and deploy scalable, automated data science products and reusable analytic assets across ...

Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture ... Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation ...

... data science solutions across multiple domains to address complex business and client challenges ... You will lead predictive analytics, machine learning, generative AI, and agentic AI approaches ...

... data science solutions across multiple domains to address complex business and client challenges ... You will lead predictive analytics, machine learning, generative AI, and agentic AI approaches ...

In this role, you will develop and deploy advanced analytics, machine learning, generative AI, and ... You will design scalable data science products, translate sophisticated analytical findings into ...

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and ... You will design scalable data science products, translate sophisticated analytical findings into ...

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Data Scientist Generative Ai information

What is the difference between Data Scientist Generative Ai vs Data Scientist?

AspectData Scientist Generative AiData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI, machine learning, and programming languagesSimilar credentials; often includes degrees in statistics, computer science, or related fields
Work EnvironmentTech companies, AI startups, research labs focusing on AI and machine learning projectsVarious industries including finance, healthcare, tech, and consulting
Employer & Industry UsagePrimarily in AI development, focusing on generative models like GPT, DALL·E, and similarBroader industry applications, including data analysis, predictive modeling, and business insights

While both roles require strong data science skills and programming knowledge, Data Scientist Generative Ai specializes in developing and deploying generative AI models, whereas Data Scientist has a broader focus on data analysis and predictive modeling across various industries.

What are popular job titles related to Data Scientist Generative Ai jobs in Colorado?

For Data Scientist Generative Ai jobs in Colorado, the most frequently searched job titles are:

Infographic showing various Data Scientist Generative Ai job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI Data Scientist

BillGO, Inc.

Fort Collins, CO • On-site

$102K - $146K/yr

Full-time

Re-posted 20 days ago


Job description

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 systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products.
Key Responsibilities
  • AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities.
  • Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk.
  • Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance.
  • AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning.
  • Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance.
  • Communication: Translate technical findings into actionable insights for business leaders and compliance teams.
  • Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy.

Required Qualifications
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
• 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments.
• Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines.
• Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI.
• Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance.
• Experience with cloud platforms such as Snowflake for ML deployment.
Preferred Qualifications
• Experience in fraud analytics, risk scoring, or payment decision models.
• Understanding of MLOps and continuous model monitoring in regulated environments.
• Familiarity with financial transaction data, open banking APIs, or real-time payments systems.
• Experience developing LLM-powered assistants or AI copilots for financial operations or support.
• Strong data storytelling and visualization skills (Tableau preferred).