AWS Data Scientist

Capgemini • Atlanta, GA

17h • $85,784 - $105,832 • Hybrid

About The Position

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 10+ 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