Data Scientist - Chicago, IL (Hybrid)

QTech • Chicago, IL

2d • Hybrid

About The Position

We are looking for an experienced Data Scientist to support enterprise analytics initiatives for a leading banking client in the United States. The candidate will develop predictive models, risk scoring systems, and advanced analytics solutions to improve customer insights and fraud detection.

Requirements

• 8+ years of experience in Data Science / Advanced Analytics
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn)
• Experience with Machine Learning (XGBoost, Random Forest, SVM, Neural Networks)
• Strong knowledge of Statistics & Hypothesis Testing
• Hands-on experience with SQL (complex joins, performance tuning)
• Experience working with Big Data tools (Spark, PySpark)
• Experience with AWS (S3, SageMaker, EC2) or Azure ML
• Experience in Model Deployment & MLOps
• Data visualization using Tableau / Power BI

Nice To Haves

• Experience in Banking / Risk / Fraud Analytics preferred

Responsibilities

• Build predictive and prescriptive analytics models
• Perform feature engineering and model tuning
• Analyze large structured and unstructured datasets
• Deploy ML models into production environments
• Work with Data Engineers to build scalable pipelines
• Present findings to business and executive stakeholders
• Ensure model governance and compliance (banking regulations)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed