Senior Data Scientist - Generative AI & ML Leader

S&P Global Inc.; New York (NY); Hybrid; USD 157,000 - 170,000; Full time

Job summary

Standard & Poor's Financial Services LLC in New York is seeking a Senior Data Scientist to lead end-to-end data pipeline design for large-scale datasets, including data ingestion and feature engineering. You will translate business needs into analytical frameworks and present findings to senior leaders.

You will design and apply advanced ML and Generative AI models to improve decision-making and mentor co-op students while collaborating with cross-functional teams.

Qualifications

• Master's degree in a quantitative field plus 1 year of experience in data science.
• Experience with developing and applying statistical and ML models.
• Proficiency in Python, SQL, and working with large datasets.

Responsibilities

• Lead end-to-end data pipeline design for large-scale datasets.
• Translate business requirements into analytical frameworks and technical solutions.
• Present findings and recommendations to senior stakeholders and leaders.
• Design, develop, and apply ML and Generative AI models to solve business problems.
• Mentor co-op data science students and provide technical guidance.

Skills

Statistical modeling

Machine learning

Python programming

SQL querying

Generative AI

Data storytelling

Education

Master's degree in Data Science/Analytics/CS/Math

Tools

Python

SQL

Pandas/Numpy

TensorFlow/PyTorch

Visualization libraries

Job description

Standard & Poor's Financial Services LLC in New York is seeking a Senior Data Scientist to lead end-to-end data pipeline design for large-scale datasets, including data ingestion and feature engineering. You will translate business needs into analytical frameworks and present findings to senior leaders.

You will design and apply advanced ML and Generative AI models to improve decision-making and mentor co-op students while collaborating with cross-functional teams.