AWS Data Scientist

Capgemini • Atlanta, GA

1d • $80,786 - $90,892 • Hybrid

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. 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

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: Senior
• Education Level: No Education Listed