Traditional Data Scientist / Machine Learning Engineer

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 1 day((s))

Skills

python
DATABRICKS
Data Scientist
Machine Learning Engineer
AWS SageMaker

Job Details

Webilent is a leading business technology solutions company. We specialize is providing turn-key project execution as well as employee augmentation services. We strive to be the IT partner of choice for every client we serve. We value the role every individual plays in helping our clients meet their end-goal objectives while maintaining the highest level of commitment to our core values: integrity, expertise and service excellence. We give clients the freedom to reach their goals through a variety of services that include software development, project management and on-going maintenance.

We are seeking an experienced Data Scientist / Machine Learning Engineer with deep expertise in building predictive models across supervised and unsupervised learning techniques. The ideal candidate should have domain experience in the insurance sector, particularly in underwriting and claims.

Key Responsibilities:

  • Develop, deploy, and evaluate machine learning models including classification (Logistic Regression, Decision Trees, Random Forest), regression (Linear, Gradient Boosting, KNN, Neural Nets), and clustering (K-means and others).

  • Lead end-to-end data science projects including data preprocessing, EDA, feature engineering, and model performance tuning.

  • Build and optimize propensity models for business applications in underwriting and claims.

  • Work with NLP techniques for OCR, text extraction, document classification, and summarization.

  • Utilize platforms like AWS SageMaker, Databricks, and Python in a hands-on capacity.

Preferred Skills:

  • Prior experience with Palantir Foundry and Artificial Intelligence Platform (AIP) is a strong plus.

  • Excellent problem-solving and communication skills.

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