What are the responsibilities and job description for the AWS Data Scientist - Malvern, PA (Hybrid) - Fulltime Role position at Caliber Smart?
Position: AWS Data Scientist
Location : Malvern, PA (Hybrid)
Duration: Fulltime
No Visa sponsorship available only GC and USC can apply
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
Chetna
Chetna@smartcaliber.com
www.smartcaliber.com
Truth Lies in Heart
Location : Malvern, PA (Hybrid)
Duration: Fulltime
No Visa sponsorship available only GC and USC can apply
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
- 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
- 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
Chetna
Chetna@smartcaliber.com
www.smartcaliber.com
Truth Lies in Heart