AWS Data Scientist
Job in
Malvern, Chester County, Pennsylvania, 19355, USA
Listed on 2026-08-26
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-08-26
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, AWS
Job Description & How to Apply Below
AWS Data Scientist
Location:
Malvern, PA
Duration: 6 Months
Pay Rate: $53–59/hr. on W2
Experience:
8+ Years
We are seeking an experienced AWS Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI to design, develop, deploy, and optimize scalable AI/ML solutions on AWS. The ideal candidate should have hands-on experience with Amazon Sage Maker, Amazon Bedrock, Python, and AWS Analytics services, along with a solid background in building production-grade machine learning pipelines and GenAI applications.
Key Responsibilities
- Design, develop, train, deploy, and monitor machine learning models using Amazon Sage Maker.
- Build and optimize scalable AI/ML solutions leveraging AWS cloud services.
- Develop data processing and analytics workflows using Python, SQL, Pandas, Num Py, and Scikit-learn.
- Implement predictive models, feature engineering, statistical analysis, and data preparation.
- Build and maintain MLOps pipelines using Sage Maker Pipelines, CI/CD, Docker, and Git Hub.
- Develop and integrate Generative AI solutions using Amazon Bedrock, Sage Maker Jump Start, and Retrieval-Augmented Generation (RAG) frameworks.
- Utilize AWS services including S3, Glue, Athena, Redshift, Lambda, and Cloud Watch for data engineering and model deployment.
- Monitor model performance and observability using Arize AI or similar monitoring platforms.
- Collaborate with cross-functional teams to deliver scalable, production-ready AI/ML solutions.
Required Skills
- 8+ years of experience in Data Science, Machine Learning, and AI.
- Strong hands-on experience with Amazon Sage Maker.
- Proficiency in Python, SQL, Pandas, Num Py, Scikit-learn, Tensor Flow, and PyTorch.
- Experience with AWS Analytics services including S3, Glue, Athena, Redshift, Lambda, and Cloud Watch.
- Expertise in Machine Learning, Predictive Modeling, Feature Engineering, and Statistical Analysis.
- Strong experience with MLOps, Sage Maker Pipelines, CI/CD, Docker, and Git Hub.
- Experience with Generative AI, Large Language Models (LLMs), Amazon Bedrock, Sage Maker Jump Start, and RAG.
- Exposure to Arize AI or similar AI/ML model monitoring and observability tools.
- Strong analytical, troubleshooting, and problem-solving skills.
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