Data Scientist

JOB DESCRIPTION:

Design and implement endtoend 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 AIML 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 AWSKey Responsibilities

Design and implement endtoend 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 AIML 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"