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AWS Data Scientist - Malvern, PA (Hybrid) - Fulltime Role

Smart Caliber TechnologyMalvern, PA🇺🇸United StatesPosted 11 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position: AWS Data Scientist

Location : Malvern, PA (Hybrid)

Duration: Fulltime

 


 

Job Description

We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.

Required Skills & Qualifications

  • Minimum 8+ years of experience in Data Science, AI, or Machine Learning
  • Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning
  • Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda
  • Strong foundation in statistics, predictive modeling, and ML algorithms
  • Proficiency in SQL and experience with data visualization techniques
  • Excellent communication and stakeholder management skills

Key Responsibilities

  • Design, develop, and deploy AI/ML models and data science solutions on AWS
  • Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
  • Perform advanced data analysis, feature engineering, model training, and optimization using Python
  • Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
  • Implement MLOps practices for model deployment, monitoring, retraining, and version control
  • Translate complex business problems into AI/ML-driven solutions
  • Ensure adherence to data security, governance, and compliance standards

Preferred Qualifications

  • AWS Certifications (Machine Learning – Specialty or Solutions Architect)
  • Experience with big data technologies such as Spark
  • Exposure to real-time or streaming data pipelines
  • Background in financial services or regulated industries

 

 

Best Regards,

Chetna

Truth Lies in  Heart

 

Skills

SQL
AWS
MLOps
Machine Learning
NLP
NumPy
Scikit-learn
Deep Learning
Pandas
PyTorch
Python
Redshift
Stakeholder Management
TensorFlow

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