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

Job

Smart Caliber Technology

Remote

Full-Time

Posted 3 weeks ago (Updated 6 days ago) • Actively hiring

Expires 7/19/2026

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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