AWS SageMaker 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, NCJob DescriptionWe are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learning solutions on AWS. The ideal candidate will have strong experience with modern ML architectures (including transformers), end-to-end pipeline development, and ML Ops best practices across the AWS ecosystem. This role requires a hands-on technologist who can collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.Must Have skills, * 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., Job Purpose Support product development projects from concept through commercialization, with limited supervision. As part of a team, assist with developing and testing formulas …

• 20 hours ago, The Data Governance Manager - Domain Partnerships serves as a strategic liaison between the enterprise data governance program and assigned data domain owners across Cox Automotive…
• 15 days ago

• 8+ years of hands-on experience in data science, machine learning, or applied AI.
• Strong expertise in transformer models, ML architectures, and algorithm development.
• Proven experience with Amazon SageMaker, AWS Bedrock, and MLflow.
• Advanced programming skills in Python or R.
• Experience with AWS analytical and data services including Athena, Redshift, EMR, Glue, and Lambda.

The base compensation range for this role in the posted location is: 80000-95000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.