Data Scientist/Python/ML/All Levels/Chicago

A growing fintech company headquartered in downtown Chicago is hiring a full-time data scientist to join their collaborative and high-performing data science team. The organization builds and deploys cutting-edge models that directly impact lending decisions, fraud detection, and business intelligence. The team works in a Python-based custom platform, using tools like scikit-learn, SQL, Jupyter Notebooks, and AWS SageMaker to train and deploy models at scale.

This is not your average data scientist gig. You'll work across the full lifecycle of modeling, from design to deployment, with meaningful ownership and mentorship. Whether you're early in your career or looking to grow into senior responsibilities, you'll be part of a tight-knit, collaborative team that tackles big problems and experiments freely. You'll gain rapid, hands-on exposure to production models in a supportive, low-ego environment. The company offers flexible work options, prioritizes personal development, and believes in empowering its scientists to own real business impact from day one.

Required Skills & Experience

• Strong foundation in Mathematics or Statistics
• Experience with linear and nonlinear modeling technique
• Proficiency in Python (pandas, NumPy, scikit-learn
• SQL knowledge, preferably with PostgreSQL
• Familiarity with Jupyter notebooks and version control tools (Git/GitHub)
• Comfortable with container tools like Docker
• Ability to communicate technical concepts clearly and concisely
• Strong time management and multitasking abilities
• Experience working in a fast-paced environment or similar industry settings

Desired Skills & Experience

• Experience using cloud-based data science tools such as AWS SageMaker
• Exposure to deploying models in production environment
• Industry experience in fintech, tech, or analytic
• Ability to work independently and proactively identify data opportunities
• Ethical approach to data usage and model decisioning

What You Will Be Doing
Tech Breakdown

• 70% Python (Data Science stack - pandas, numpy, scikit-learn
• 20% SQL and Data Wrangling
• 10% AWS (SageMaker, S3, EC2)

Daily Responsibilities

• 80% Hands-On Modeling, Feature Engineering, and Analysis
• 0% Management Duties (Individual Contributor Role
• 20% Team Collaboration & Cross-Functional Sync

The Offer

• Bonus Eligible (Performance-Based)

You will receive the following benefits:

• Medical, Dental, and Vision Insuranc
• Vacation Time / PTO
• Stock Options and Equity Consideration
• Hybrid Work Option with Onsite Amenities (Downtown Chicago)
• Access to Gym and Bike Storage (if hybrid)
• Casual, collaborative culture with real mentorship and career growth

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

#LI-MW9