About the job Data Scientist
- Role: Data Scientist / ML Engineer
- Location: New York / Atlanta
- Type: Fulltime, Hybrid
Our client is looking for a Data Scientist / Machine Learning Engineer who is well-versed with different supervised (Classification/Regression) and unsupervised/clustering ML models. He/She should understand how these model algorithms work. This resource is expected to have hands-on experience around these predictive models (from data pre-processing to EDA to Modeling to Evaluation).
- Classification Logistic Regression, Decision Tree, Random Forest
- Regression Linear, Gradient Boosting, Neural Nets, KNN
- Unsupervised K-means and other clustering techniques
Requirements: - 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 SageMaker, Databricks, etc.
- Should be familiar with NLP techniques (OCR based text extraction, document classification, document summarization)
- Palantir Foundry and AIP experience is a plus