Data Scientist in Mundelein

• 5+ years of experience in data science or machine learning in a production environment \n

• Strong foundation in statistical modeling and machine learning (e.g., classification, ensemble methods) \n

• Experience deploying models into production and iterating based on real-world performance \n

• Proficiency in Python and SQL \n

• Experience with experimentation, causal inference, or uplift modeling \n

• Strong problem-solving skills with the ability to operate in ambiguous, fast-paced environments

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• Build and deploy machine learning models for underwriting, credit risk, and portfolio optimization \n

• Develop pricing, ranking, and personalization algorithms to improve marketplace performance \n

• Apply causal inference and experimentation techniques to optimize decision-making \n

• Own projects end-to-end: from exploratory analysis and modeling through to production deployment \n

• Translate complex modeling outputs into clear business insights and recommendations \n

• Collaborate closely with engineering and product teams to operationalize models \n

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A high-growth consumer fintech and e-commerce platform is building the credit infrastructure powering digital commerce in a large, underserved market. The business has reached profitability, processes hundreds of millions in annual transaction volume, and continues to scale rapidly with strong backing from top-tier investors.

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The team is lean, highly technical, and composed of leaders from globally recognized technology and marketplace companies. This is an opportunity to join at a pivotal stage and directly influence core revenue-driving systems.