Data Scientist III
Core
Build and optimize scalable data infrastructure and end-to-end machine learning workflows to power analytics and ML solutions across S&P Global.
Role type
Senior IC data scientist (ML infrastructure & computer vision)
Builds
Scalable data pipelines, cloud-native ML infrastructure, and production-ready ML models
Domain
Energy & Commodities markets, Cloud Data Engineering, Machine Learning
Deliverable
production ML models
Required skills
Python, Machine Learning frameworks (PyTorch, TensorFlow, Keras, scikit-learn), Computer Vision (image/video processing, object detection, segmentation), End-to-end ML workflow development, SQL/NoSQL, Cloud platforms (AWS, Azure, GCP), Distributed computing
Preferred skills
Workflow orchestration (Airflow, MLflow), Data observability, Data governance
Technologies
AWS, Azure, GCP, PyTorch, TensorFlow, Keras, scikit-learn, Airflow, MLflow, Git
Responsibilities
Design and maintain scalable data pipelines using modern tools and cloud platforms. Develop and maintain data infrastructure for analytics and ML. Improve data quality, lineage, and reliability across the data lifecycle. Support deployment and monitoring of ML solutions in production. Collaborate with stakeholders to translate data needs into technical requirements.
Seniority
Senior, hands-on IC
