Top 8 Ai data scientist Jobs in Greeley, Co

AI Data Scientist
BillGO, Inc. —Fort Collins, CO
- $102,000 - $146,900 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
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Data Scientist AI/ML
BillGO, Inc. —Fort Collins, CO
- $102,000 - $146,900 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
- Health insurance
Quick Apply
AI Scientist
BillGO, Inc. —Fort Collins, CO
- $132,800 - $196,500 a year
- Full-time
- Computer Science
- 5 years
- Databases
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AI Data Analytics Engineer
BillGO, Inc. —Fort Collins, CO
- $102,000 - $146,900 a year
- Full-time
- Mid-level
- 3 years
- SQL
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Senior AI Engineer
Hewlett Packard Enterprise —Fort Collins, CO
- $144,000 - $273,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
AI & ML Software Engineer
Hewlett Packard Enterprise —Fort Collins, CO
- $144,000 - $273,000 a year
- Full-time
- Office
- Continuous improvement
- Fair chance
23h

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Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience.
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Data Scientist
Bread Financial —Columbus, OH
The Company complies with the Americans with Disabilities Act (ADA), as amended, and all applicable state/local laws. Master’s Degree or PhD in relevant fields.
$90,400 - $166,400 a year
4d
Associate Data Scientist
OCLC —Dublin, OH
Bachelor’s in a quantitative field (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science role or Master’s + 1+ year in a data science role.
3d

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ai data scientist jobs near greeley, co

AI Data Scientist

BillGO, Inc. -
Fort Collins, CO

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Job Details

Full-time
$102,000 - $146,900 a year

Qualifications

AI models
Data transformation pipeline development
Cloud data warehouses
PCI
Data structures
Generative models
AI platforms (beyond public GPTs)
Computational framework
Machine learning cloud services
Machine intelligence
Model deployment
Supervised learning
Industry knowledge of financial regulations
Developing large-scale AI models
Natural language processing
Regulatory compliance analysis
Unsupervised learning
Machine learning libraries
Legal compliance
Machine learning frameworks
Generative AI

Full 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).

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ai data scientist jobs in greeley, co

AI Data Scientist

Data Scientist AI/ML

AI Scientist

AI Data Analytics Engineer

Senior AI Engineer

AI & ML Software Engineer

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