Data Scientist/Machine Learning Engineer Position Available In Cobb, Georgia
Tallo's Job Summary: The Data Scientist/Machine Learning Engineer position requires expertise in supervised and unsupervised ML models, particularly in the insurance domain. Proficiency in Python, experience with AWS SageMaker and NLP techniques, and familiarity with Palantir Foundry and AIP are preferred. Salary and hiring company details are not provided in the job description.
Job Description
Data Scientist/Machine Learning Engineer
Traditional Data Scientist/Machine Learning Engineer
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 Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:
RTL327349
Position Id:
8636821
