Data Scientist (AWS, AI/ML) Healthcare Domain

Bright Sol
Washington, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Washington, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Unit Testing
Big Data
Health Informatics
Cluster Analysis
ETL
Data Visualization
R
Hadoop
Hive
SPSS (Software)
Python
Matlab
Machine Learning
NumPy
SAS (Software)
SQL Databases
Stata
Random Forest
Spark
Deep Learning
Pandas
Scikit Learn
Information Technology
Virtual Agents
Unsupervised Learning

Job description

  • SageMaker
  • Bedrock
  • Kendra
  • Lambda
  • AI/ML model development and deployment
  • Machine Learning, Deep Learning, Predictive Modeling
  • Random Forest, Decision Trees, Neural Networks
  • Supervised & Unsupervised Learning
  • Clustering, Forecasting, Statistical Modeling
  • Production-ready Python code with unit testing
  • Scikit-learn, Pandas, NumPy
  • Data Visualization using Python

Preferred:

  • Agentic AI
  • Healthcare Analytics
  • Hadoop/Hive
  • R, SAS, SPSS, MATLAB, or Stata
  • ETL & Big Data Technologies
  • Leadership experience on Data Science projects

Requirements

We are seeking a highly experienced Sr. Data Scientist with 15+ years of overall IT experience and 8+ years of recent hands-on Data Science experience. Candidates must have current Health Insurance domain experience and strong expertise in AWS, AI/ML, and Machine Learning model development & deployment.

Must Have:

  • 15+ years of overall IT experience
  • 8+ years of recent experience as a Data Scientist
  • Current Health Insurance customer/project experience (Mandatory)
  • Strong Python and SQL programming skills
  • Spark/Scala experience

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