AWS Data Scientist

AWS Data Scientist

Job Location:

Charlotte NC (Day one Onsite - Hybrid)

• Design and implement end-to-end machine learning pipelines using services such as Amazon Sage Maker, 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, Quick Sight, and 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.

• Flexible work.
• 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.
• Family building benefits like adoption assistance, surrogacy, and cryopreservation.
• Social well-being benefits like subsidized backup child/elder care and tutoring.
• Mentoring, coaching, and learning programs.
• Employee Resource Groups.
• Disaster Relief.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.