We are looking for an AWS Data Scientist to analyze complex datasets, build machine learning models, and leverage AWS tools to drive business insights and decision-making.
Key Responsibilities
- Analyze and explore large datasets using AWS tools (SageMaker, Glue, Redshift) to uncover insights and trends.
- Build, train, and evaluate machine learning models using AWS SageMaker, TensorFlow, and PyTorch.
- Work with AWS Glue, Redshift, and Textract to preprocess, transform, and manage data for ML projects.
- Work with cross-functional teams to deliver data-driven solutions and communicate insights effectively.
- Stay updated on AWS technologies and data science trends.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, or a related field (Master’s preferred).
- 9+ years in data science, with 3+ year of experience using AWS services (SageMaker, Glue, Redshift).
- Proficient in Python or R, machine learning frameworks (TensorFlow, PyTorch).
- Experience with AWS services (SageMaker, Glue, Redshift, Textract).
- Strong knowledge of SQL, data wrangling, and cloud-based storage solutions (e.g., S3).
- AWS certifications (e.g., Certified Machine Learning – Specialty), experience with MLOps and big data tools (e.g., Apache Spark).