Data Scientist

Overview

Join to apply for the Data Scientist role at Tata Consultancy Services .

Responsibilities

• Data Analysis and Exploration : Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools.
• Model Development : Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow.
• ETL and Data Preparation : Work with AWS Glue, Redshift, Textract and other data engineering tools to preprocess, transform, and manage data for machine learning purposes.
• Machine Learning Pipeline Development : Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale.
• Collaboration : Work closely with data engineers, business analysts, and stakeholders to understand business needs and tailor data science solutions to meet those needs.
• Model Deployment and Monitoring : Deploy models to production and set up monitoring systems to track performance, accuracy, and other key metrics. Use SageMaker and Lambda for model hosting and API development.
• Documentation and Reporting : Document models, processes, and findings for stakeholders, enabling clear communication of results and decision support.

Qualifications / Requirements

Compensation and Benefits

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