Data Scientist (Chicago)

This role supports a financial services organization by applying advanced data science and machine learning techniques to solve complex business problems using large-scale datasets. The position focuses on end-to-end feature engineering, model development, and writing production-quality code in a fast-paced, collaborative environment. The individual partners closely with product and engineering teams to uncover trends, improve algorithm performance, and drive data-informed decisions.

Key Responsibilities

• Independently analyze and aggregate large, complex datasets to identify anomalies that affect model and algorithm performance
• Own the full lifecycle of feature engineering, including ideation, development, validation, and selection
• Develop and maintain production-quality code in a fast-paced, agile environment
• Solve challenging analytical problems using extremely large (terabyte-scale) datasets
• Evaluate and apply a range of machine learning techniques to determine the most effective approach for business use cases
• Collaborate closely with product and engineering partners to identify trends, opportunities, and data-driven solutions
• Communicate insights, results, and model performance clearly through visualizations and explanations tailored to non-technical stakeholders
• Adhere to established standards and practices to ensure the security, integrity, and confidentiality of systems and data

Minimum Qualifications