Overview
On Site
160k - 180k
Full Time
Skills
Brand
Data Science
Analytics
Pandas
NumPy
scikit-learn
PostgreSQL
Jupyter
Version Control
Git
GitHub
Amazon SageMaker
Shell Scripting
Command-line Interface
Real-time
Communication
Conflict Resolution
Problem Solving
Mathematics
Statistics
Physics
Python
Machine Learning (ML)
Fraud
Modeling
SQL
Data Engineering
Docker
Amazon Web Services
Management
Collaboration
Insurance
SAP BASIS
Job Details
We have a new exciting opportunity in Chicago, IL for data scientists to work with a leading multi-brand online consumer lender. This is a full-time hybrid position focused on applying cutting-edge data science to detect and mitigate fraud. You'll use tools like Python, SQL, and AWS to develop and deploy machine learning models that protect our customers and business.
Looking for a high-impact role where you can fight fraud with data? Join our collaborative data science team and help shape the future of fraud prevention in FinTech. You'll own models from concept to production, work alongside some of Chicago's smartest FinTech pros, and enjoy a casual, supportive culture with growth opportunities. Whether you're strong in Python or anomaly detection-or want to learn it all-we want you on our team.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-BF1
Looking for a high-impact role where you can fight fraud with data? Join our collaborative data science team and help shape the future of fraud prevention in FinTech. You'll own models from concept to production, work alongside some of Chicago's smartest FinTech pros, and enjoy a casual, supportive culture with growth opportunities. Whether you're strong in Python or anomaly detection-or want to learn it all-we want you on our team.
Required Skills & Experience
- Experience in fraud detection and risk analytics
- Proficiency in Python (pandas, numpy, scikit-learn)
- Strong SQL skills (preferably PostgreSQL)
- Familiarity with Jupyter notebooks
- Model deployment experience
- Version control (Git/GitHub)
- Experience with AWS (SageMaker, etc.)
- Docker for deployment
- Shell scripting/command line
- Real-time and batch fraud detection systems
- Strong communication and problem-solving skills
- Bachelor's degree in Mathematics, Statistics, Physics, Engineering, or related field (Master's/Ph.D. preferred)
Tech Breakdown
- 70% Python and machine learning (fraud modeling, anomaly detection)
- 20% SQL and data engineering
- 10% Docker, AWS tools, and deployment ops
- 80% Hands On
- 10% Management Duties
- 10% Team Collaboration
The Offer
- Competitive pay (bonus eligible)
- Medical, Dental, and Vision Insurance
- Paid Vacation Time
- Remote or Hybrid Work Flexibility
- Casual work environment (jeans encouraged)
- Career advancement and ongoing skill development
- Gym and bike room onsite (if hybrid in Chicago)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-BF1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.