Job
Description
About the Role: As a Lead Data Scientist, you will be responsible for the architectural vision and hands-on execution of AI/ML/GenAI initiatives. You will design enterprise-scale ML/AI systems on AWS, focusing on traditional predictive modeling and cutting-edge GenAI workflows. Your role will involve driving strategies for MLOps, model lifecycle management, and automated deployment to ensure efficient time-to-market with high quality. Additionally, you will oversee cloud-native development, containerization, scalable data systems, CI/CD pipelines, infrastructure as code, and mentorship of team members. Key Responsibilities: - Lead the design and implementation of enterprise-scale ML/AI systems on AWS, focusing on predictive modeling and cutting-edge GenAI workflows - Drive strategies for MLOps, model lifecycle management, and automated deployment - Architect event-driven systems using AWS services like ECS, Lambda, batch, Step Functions, SQS, and SNS - Implement container orchestration using Docker and AWS ECS/Fargate - Oversee the integration of high-throughput data pipelines using Snowflake, Trino, and Apache Iceberg - Establish and enforce CI/CD pipelines using GitHub, ensuring automated testing, linting, and security scanning - Utilize Terraform for managing and version-controlling ML infrastructure - Mentor Senior Engineers on architectural best practices and production-grade Python coding standards - Translate complex business problems into solvable Data Science tasks and communicate technical progress to non-technical executive audiences Qualifications: - Required: Bachelor's degree in computer science, Engineering, or a related field - Preferred: Master's or Ph.D. in Computer Science, Mathematics, or Statistics - Certifications: AWS Certified Machine Learning - Specialty or AWS Solutions Architect Professional is a major plus Additional Details of the Company: At S&P Global Market Intelligence, we deliver unrivaled insights and leading data and technology solutions to help customers expand their perspective, operate with confidence, and make decisions with conviction. With a team of experts, we provide accurate, deep, and insightful information to empower our customers and drive innovation in global markets. S&P Global is committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. We value different perspectives and promote a culture of respect and collaboration to drive innovation and power global markets. About the Role: As a Lead Data Scientist, you will be responsible for the architectural vision and hands-on execution of AI/ML/GenAI initiatives. You will design enterprise-scale ML/AI systems on AWS, focusing on traditional predictive modeling and cutting-edge GenAI workflows. Your role will involve driving strategies for MLOps, model lifecycle management, and automated deployment to ensure efficient time-to-market with high quality. Additionally, you will oversee cloud-native development, containerization, scalable data systems, CI/CD pipelines, infrastructure as code, and mentorship of team members. Key Responsibilities: - Lead the design and implementation of enterprise-scale ML/AI systems on AWS, focusing on predictive modeling and cutting-edge GenAI workflows - Drive strategies for MLOps, model lifecycle management, and automated deployment - Architect event-driven systems using AWS services like ECS, Lambda, batch, Step Functions, SQS, and SNS - Implement container orchestration using Docker and AWS ECS/Fargate - Oversee the integration of high-throughput data pipelines using Snowflake, Trino, and Apache Iceberg - Establish and enforce CI/CD pipelines using GitHub, ensuring automated testing, linting, and security scanning - Utilize Terraform for managing and version-controlling ML infrastructure - Mentor Senior Engineers on architectural best practices and production-grade Python coding standards - Translate complex business problems into solvable Data Science tasks and communicate technical progress to non-technical executive audiences Qualifications: - Required: Bachelor's degree in computer science, Engineering, or a related field - Preferred: Master's or Ph.D. in Computer Science, Mathematics, or Statistics - Certifications: AWS Certified Machine Learning - Specialty or AWS Solutions Architect Professional is a major plus Additional Details of the Company: At S&P Global Market Intelligence, we deliver unrivaled insights and leading data and technology solutions to help customers expand their perspective, operate with confidence, and make decisions with conviction. With a team of experts, we provide accurate, deep, and insightful information to empower our customers and drive innovation in global markets. S&P Global is committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. W
