Job Title: Data Scientist AI/ML
Location: Chicago IL
Domain: Health care
Long Term Contract
Looking for W2 Candidates. No C2C
Job Summary:
We are looking for someone who is well-versed with different supervised (Classification/Regression) and unsupervised/clustering ML models. He/she should understand how these model algorithms work. We are looking for hands-on experience around these predictive models (from data pre-processing to EDA to Modeling to Evaluation).
Technical Skills:
- Classification Logistic Regression Decision Tree Random Forest
- Regression Linear Gradient Boosting Neural Nets KNN
- Unsupervised K-means and other clustering techniques
- Should have insurance domain experience (specifically Underwriting/Claims)
- Should have developed propensity models within insurance business domain
- Should be proficient at Python
- Should have prior experience in AWS Sage Maker Databricks etc.
- Should be familiar with NLP techniques (OCR based text extraction document classification document summarization)
- Palantir Foundry and AIP experience is a plus.
Best Regards:
Tina
Phone: 1-
Email:
Job Title: Data Scientist AI/ML Location: Chicago IL Domain: Health care Long Term Contract Looking for W2 Candidates. No C2C Job Summary: We are looking for someone who is well-versed with different supervised (Classification/Regression) and unsupervised/clustering ML models. He/she should under...
Job Title: Data Scientist AI/ML
Location: Chicago IL
Domain: Health care
Long Term Contract
Looking for W2 Candidates. No C2C
Job Summary:
We are looking for someone who is well-versed with different supervised (Classification/Regression) and unsupervised/clustering ML models. He/she should understand how these model algorithms work. We are looking for hands-on experience around these predictive models (from data pre-processing to EDA to Modeling to Evaluation).
Technical Skills:
- Classification Logistic Regression Decision Tree Random Forest
- Regression Linear Gradient Boosting Neural Nets KNN
- Unsupervised K-means and other clustering techniques
- Should have insurance domain experience (specifically Underwriting/Claims)
- Should have developed propensity models within insurance business domain
- Should be proficient at Python
- Should have prior experience in AWS Sage Maker Databricks etc.
- Should be familiar with NLP techniques (OCR based text extraction document classification document summarization)
- Palantir Foundry and AIP experience is a plus.
Best Regards:
Tina
Phone: 1-
Email:
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