Data Scientist/Python/ML/All Levels/Chicago

Motion Recruitment • Full-time • Chicago, IL, US • 1d ago

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.

Posted By: Marshawn Washington

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