Data Scientist

Hi

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

Job Title:  Data Scientist 
Location: Charlotte, NC 

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

Job description:

• 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 monitoring.
• Perform data collection, cleansing, preprocessing, transformation, and feature engineering to prepare high-quality structured and unstructured datasets for predictive modeling and advanced analytics.
• 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 problems.
• Implement MLOps best practices by automating model deployment, versioning, monitoring, retraining, and CI/CD pipelines to ensure reliable, scalable, and production-ready ML solutions.
• Collaborate with Data Engineering teams to design, develop, and optimize ETL pipelines, ensuring data quality, availability, governance, and seamless integration across AWS cloud platforms.
• Utilize AWS analytics services including Amazon Athena, Amazon Redshift, Amazon EMR, and Amazon QuickSight to perform data analysis, reporting, dashboard development, and business intelligence visualization.
• 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 value.
• Partner with business stakeholders, product owners, and cross-functional teams to understand business objectives, translate requirements into data-driven solutions, and communicate actionable insights.
• Ensure compliance with AWS security, IAM, encryption, data governance, and cloud best practices while optimizing ML workloads for performance, scalability, reliability, and cost efficiency.
• Stay current with emerging AWS AI/ML services, cloud technologies, and industry best practices, contributing to continuous improvement, technical documentation, code reviews, and innovation initiatives.