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