Not specified; not specified; competitive pyy + re...
Hybrid
Python programming experience
Machine learning model development
Computer vision techniques
S&P Global is seeking a Data Scientist III to join their Data Science & Modeling team in a hybrid role, where the candidate will enhance the data infrastructure for analytics and machine learning across the organization. The position emphasizes collaboration, growth, and the use of cloud technologies, while also promoting an inclusive and supportive work environment
Job Summary
You will play a key role in shaping the data infrastructure that powers advanced analytics and machine learning solutions across S&P Global.
The role involves designing, building, and maintaining scalable data pipelines using modern tools and cloud platforms like AWS, Azure, or GCP.
S&P Global offers comprehensive benefits including health care coverage, flexible downtime, continuous learning resources, and family-friendly perks.
Matching Summary
Match Score: 85
S&P Global is seeking a Data Scientist III to join their Data Science & Modeling team in a hybrid role, where the candidate will enhance the data infrastructure for analytics and machine learning across the organization. The position emphasizes collaboration, growth, and the use of cloud technologies, while also promoting an inclusive and supportive work environment.
Salary
Not specified; Not specified; Competitive pay and retirement planning mentioned
Skills & Requirements
Must-have
Python programming experience
Machine learning model development
Computer vision techniques
Cloud platform expertise AWS Azure GCP
End-to-end ML workflow management
SQL and NoSQL database knowledge
Nice-to-have
Workflow orchestration tools Airflow MLflow
Data governance and privacy practices
Data observability monitoring and alerting
Distributed and accelerated computing concepts
Version control Git best practices
Key Requirements
University degree in Computer Science Engineering Mathematics or related field
5+ years of hands-on programming experience primarily in Python
Strong experience with PyTorch TensorFlow Keras scikit-learn