Tata Consultancy Services
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
Experience with data analysis, modeling, and machine learning lifecycle Proficiency with AWS data and ML tools (SageMaker, Glue, Redshift, Textract) and frameworks (e.g., TensorFlow) Ability to develop and deploy end-to-end ML pipelines and APIs Strong collaboration and communication skills with stakeholders Compensation and Benefits
Base Salary Range: $100,000 - $120,000 per annum Discretionary Annual Incentive Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans Family Support: Maternal & Parental Leaves Insurance Options: Auto & Home Insurance, Identity Theft Protection Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement Time Off: Vacation, Time Off, Sick Leave & Holidays Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
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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
Experience with data analysis, modeling, and machine learning lifecycle Proficiency with AWS data and ML tools (SageMaker, Glue, Redshift, Textract) and frameworks (e.g., TensorFlow) Ability to develop and deploy end-to-end ML pipelines and APIs Strong collaboration and communication skills with stakeholders Compensation and Benefits
Base Salary Range: $100,000 - $120,000 per annum Discretionary Annual Incentive Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans Family Support: Maternal & Parental Leaves Insurance Options: Auto & Home Insurance, Identity Theft Protection Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement Time Off: Vacation, Time Off, Sick Leave & Holidays Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
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