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).

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