Job Title : Traditional Data Scientist/Machine Learning Engineer
Locations : NYC & Atlanta GA / Hybrid
Full Time Opportunity
Job Description:
- 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).
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 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