Job Title: Data Scientist
Location: Chicago IL (Hybrid )
Duration: 12 Months Contract
No C2C Only W2
Job Description:
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.
Required Skills:
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
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)
Best Regards
Tarun K
Phone: 1-
Email:
Job Title: Data Scientist Location: Chicago IL (Hybrid ) Duration: 12 Months Contract No C2C Only W2 Job Description: 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 predic...
Job Title: Data Scientist
Location: Chicago IL (Hybrid )
Duration: 12 Months Contract
No C2C Only W2
Job Description:
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.
Required Skills:
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
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)
Best Regards
Tarun K
Phone: 1-
Email:
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