Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown", offering a pay rate of "unknown". Key skills include proficiency in Python, AWS SageMaker, and insurance domain experience, particularly in underwriting and claims.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Regression #"ETL (Extract #Transform #Load)" #NLP (Natural Language Processing) #AWS (Amazon Web Services) #Data Science #SageMaker #Databricks #Clustering #AWS SageMaker #ML (Machine Learning) #Python #Classification #Logistic Regression
Role description
Key Skills:
• (Classification/Regression) and unsupervised/clustering ML models looking for hands-on experience around these predictive models (from data pre-processing to EDA to Modeling to Evaluation).
o Classification – Logistic Regression, Decision Tree, Random Forest
o Regression – Linear, Gradient Boosting, Neural Nets, KNN
o Unsupervised – K-means and other clustering technique
o 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
Key Skills:
• (Classification/Regression) and unsupervised/clustering ML models looking for hands-on experience around these predictive models (from data pre-processing to EDA to Modeling to Evaluation).
o Classification – Logistic Regression, Decision Tree, Random Forest
o Regression – Linear, Gradient Boosting, Neural Nets, KNN
o Unsupervised – K-means and other clustering technique
o 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
