Job Description & How to Apply Below
This job is with S&P Global, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
About the Role:
Grade Level (for internal use):
11 Position Summary
As a Lead Data Scientist , you will be the technical authority responsible for the architectural vision and hands-on execution of our most complex AI/ML/GenAI initiatives. This role demands a rare hybrid of machine learning/GenAI mastery and hardcore cloud engineering . You will not just "build models"; you will design the entire ecosystem-from automated data ingestion to CI/CD-driven deployment-ensuring our solutions are scalable, resilient, and integrated into the S&P Global fabric.
Key Responsibilities
1. ML Architecture & Strategy
End-to-End Design: Lead the design and implementation of enterprise-scale ML/AI systems on AWS, focusing on both traditional predictive modelling and cutting-edge GenAI (RAG, Agentic workflows).
Technical
Roadmap:
Drive the strategy for MLOps, model lifecycle management (ML Lifecycle), and automated deployment strategies to ensure "time to market" is minimized without quality trade-offs.
2. AWS Engineering & Infrastructure
Cloud-Native Development: Architect event-driven systems using AWS ECS, Lambda, batch, Step Functions, SQS, and SNS .
Containerization: Implement sophisticated container orchestration using Docker and AWS ECS/Fargate .
Scalable Data Systems: Oversee the integration of high-throughput data pipelines using Snowflake, Trino, and Apache Iceberg.
3. Build Process & Dev Ops Excellence
CI/CD Leadership: Establish and enforce gold-standard CI/CD pipelines using Git Hub , ensuring automated testing, linting, and security scanning are baked into every release.
Infrastructure as Code (IaC): Utilize Terraform to manage and version-control all ML infrastructure, ensuring reproducibility across environments.
Git Workflow Mastery: Manage complex branching strategies, code review protocols, and repository governance to maintain high code quality across the team.
4. Mentorship & Collaboration
Lead by Example: Mentor Senior Engineers on architectural best practices and production-grade Python coding standards.
Stakeholder Bridge: Translate intricate business problems into solvable Data Science tasks and communicate technical progress to non-technical executive audiences.
Essential Technical Skills
Category
Requirements
Experience
8+ years in Data Science/ML Engineering; 3+ years in a Lead capacity.
Machine Learning
Supervised/Unsupervised machine learning, Deep Learning (PyTorch/Tensor Flow), LLMs (Bedrock, OpenAI, Gemini), RAG, and Agentic AI.
AWS Stack
Sage Maker, Lambda, ECS Fargate, Batch, Step Functions, API Gateway, S3, Dynamo
DB, Bedrock, and Open Search.
Engineering
Expert Python , Fast API for microservices, Docker, and SQL/No
SQL optimization.
Build & Ops
Git/Git Hub , Git Hub Actions (CI/CD), Terraform (IaC), and Mops (MLflow/DVC).
Data Tooling
Snowflake, Apache Iceberg, Trino, and Vector Databases (Elastic Search/Open Search).
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.
People Skills
The "Lead" Mindset: Ability to take full ownership of timelines and deliveries while maintaining a "People First" collaborative spirit.
Curiosity: A drive to constantly evaluate and integrate emerging AI frameworks (Lang Graph, MCP, etc.) to keep the team ahead of the curve.
About S&P Global Market Intelligence
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit
What's In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide-so we're…
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