Data Scientist

Hi,

Our client is looking for a Data Scientist project in Charlotte, NC below is the detailed requirement

• .
• Job Title: Data Scienti
• stLocation: Charlotte,

NC

Required Skills: Amazon SageMaker, Python, Machine Learning (ML), AWS Glue, ML

• Ops
• Job descript
• ion:Design, develop, and implement end-to-end Machine Learning (ML) pipelines on AWS using Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3 for scalable data processing, model training, deployment, and monitor
• ing.Perform data collection, cleansing, preprocessing, transformation, and feature engineering to prepare high-quality structured and unstructured datasets for predictive modeling and advanced analyt
• ics.Build, train, evaluate, fine-tune, and deploy Machine Learning and Statistical Models using Python, R, and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch to solve complex business probl
• ems.Implement MLOps best practices by automating model deployment, versioning, monitoring, retraining, and CI/CD pipelines to ensure reliable, scalable, and production-ready ML soluti
• ons.Collaborate with Data Engineering teams to design, develop, and optimize ETL pipelines, ensuring data quality, availability, governance, and seamless integration across AWS cloud platfo
• rms.Utilize AWS analytics services including Amazon Athena, Amazon Redshift, Amazon EMR, and Amazon QuickSight to perform data analysis, reporting, dashboard development, and business intelligence visualizat
• ion.Develop AI/ML solutions for use cases such as forecasting, anomaly detection, Natural Language Processing (NLP), Computer Vision, recommendation systems, and predictive analytics to drive business va
• lue.Partner with business stakeholders, product owners, and cross-functional teams to understand business objectives, translate requirements into data-driven solutions, and communicate actionable insig
• hts.Ensure compliance with AWS security, IAM, encryption, data governance, and cloud best practices while optimizing ML workloads for performance, scalability, reliability, and cost efficie
• ncy.Stay current with emerging AWS AI/ML services, cloud technologies, and industry best practices, contributing to continuous improvement, technical documentation, code reviews, and innovation initiati

ves.