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About the Role
AWS Data Scientist
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 NC (Day One Onsite - Hybrid)**
**Key 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...
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 NC (Day One Onsite - Hybrid)**
**Key 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...
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