AWS Data Scientist

About the role

Joining Capgemini means being part of a company that empowers you to shape your career, supported by a collaborative community of colleagues worldwide. You'll have the opportunity to reimagine what's possible for leading organizations.

Job Location

Job Location - Malvern PA / Charlotte NC (Day one Onsite - Hybrid)

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 like Athena, Redshift, QuickSight, and EMR for advanced reporting and visualization
• Work with stakeholders to translate business objectives into data science solutions and actionable insights
• Apply AIML 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

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
• Experience with AWS services such as SageMaker, Glue, Lambda, S3, Athena, Redshift, QuickSight, and EMR
• Strong proficiency in Python, R, or similar programming languages
• Knowledge of machine learning algorithms and techniques
• Experience with data engineering and data management
• Excellent problem-solving and analytical skills
• Ability to collaborate effectively with cross-functional teams

Skills

• Machine Learning
• Data Engineering
• Data Analysis
• Python/R Programming
• AWS Services
• Collaboration

Benefits

Capgemini offers a comprehensive benefits package including:

• Paid time off
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching, and learning programs
• Employee Resource Groups
• Disaster Relief

Pay

The base compensation range for this role in the posted location is $103,330 to $128,656 annually.

Schedule

This role is expected to be a full-time regular position.