Role: AWS Data Scientist
Location: Malvern, PA (Onsite/Hybrid)
Job Type: Full-Time
About the Role
Client is seeking an experienced AWS Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and Python development. The ideal candidate will have extensive experience designing, developing, and deploying scalable, cloud-native data science solutions on AWS while collaborating closely with business stakeholders and engineering teams.
This role requires hands-on involvement across the complete data science lifecycle, from data exploration and model development to deployment, monitoring, and optimization.
Required Qualifications
10+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or related fields
Strong expertise in AI/ML techniques, including:
Supervised and unsupervised learning
Natural Language Processing (NLP)
Deep Learning
Advanced Python programming skills with experience using:
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Extensive hands-on experience with AWS services, including:
SageMaker
S3
Redshift
Glue
Athena
Lambda
Strong understanding of statistics, predictive modeling, and machine learning algorithms
Proficiency in SQL and data visualization techniques
Excellent communication, presentation, and stakeholder management skills
Key Responsibilities
Design, develop, and deploy AI/ML solutions on AWS cloud platforms
Build and maintain end-to-end machine learning pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
Perform data analysis, feature engineering, model training, validation, and optimization using Python
Work with large-scale datasets utilizing AWS data services including S3, Glue, Athena, and Redshift
Implement MLOps best practices for model deployment, monitoring, retraining, and version management
Translate complex business requirements into scalable AI/ML solutions
Collaborate with cross-functional teams to drive data-driven decision-making
Ensure compliance with data governance, security, and regulatory standards
Preferred Qualifications
AWS Certified Machine Learning Specialty and/or AWS Solutions Architect Certification
Experience with big data technologies such as Apache Spark
Exposure to real-time analytics and streaming data pipelines
Experience working within financial services or other regulated industries
Must-Have Skills
AWS SageMaker
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
Machine Learning & Artificial Intelligence
NLP / Deep Learning
SQL
Redshift, Glue, Athena, S3
MLOps
Predictive Modeling
Data Visualization