AWS SageMaker Data Scientist

Capgemini • Atlanta, GA

7d • $80,000 - $95,000

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Location : Charlotte, NCJob DescriptionWe are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learning solutions on AWS. The ideal candidate will have strong experience with modern ML architectures (including transformers), end-to-end pipeline development, and ML Ops best practices across the AWS ecosystem. This role requires a hands-on technologist who can collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.

Requirements

• 8+ years of hands-on experience in data science, machine learning, or applied AI.
• Strong expertise in transformer models, ML architectures, and algorithm development.
• Proven experience with Amazon SageMaker, AWS Bedrock, and MLflow.
• Advanced programming skills in Python or R.
• Experience with AWS analytical and data services including Athena, Redshift, EMR, Glue, and Lambda.

Responsibilities

• Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.
• Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.
• Develop predictive models and statistical analyses using Python, R, or similar tools.
• Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.
• Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.
• Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.
• Work with stakeholders to translate business objectives into data science solutions and actionable insights.
• Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.
• Maintain compliance with security and governance standards for data management on AWS.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed