Job DetailsJob Location: Fort Collins, CO 80528Position Type: Full TimeSalary Range: $102,000.00 - $146,900.00 SalaryTravel Percentage: NegligibleJob Shift: DayWhy This Role Matters

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. 

What You’ll Do


- 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. 



QualificationsWhat You Bring


- 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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