AWS Data Scientist

Capgemini Holding Inc-posted 25 days ago
$80,420 - $106,050/Yr
Full-time • Mid Level
Hybrid • Columbia, SC
5,001-10,000 employees
Professional, Scientific, and Technical Services
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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.

  • 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 (Athena, Redshift, QuickSight, 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 back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
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