Data Scientist - Full time

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 modelingDevelop predictive models and statistical analyses using Python R or similar toolsDeploy monitor and optimize ML models in production environments using AWS ML Ops best practicesCollaborate with data engineers to design ETL pipelines and ensure data availability and reliabilityUtilize AWS analytics services Athena Redshift Quick Sight EMR for advanced reporting and visualizationWork with stakeholders to translate business objectives into data science solutions and actionable insightsApply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systemsMaintain compliance with security and governance standards for data management on AWS