Senior Data Scientist: Generative AI & ML Lead (Hybrid NY)

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

Benefits offered by this job

Annual incentive plan

Benefits package

Job summary

Standard & Poor's Financial Services LLC is seeking a Senior Data Scientist at our New York office. The role involves leading end-to-end data pipelines for large-scale datasets, translating business needs into analytics, and presenting findings to senior leaders.

You will develop ML and Generative AI models to drive decision-making and mentor co-op students. Telecommuting is permitted within normal commuting distance of the New York office.

Qualifications

• Master’s degree in Data Science or related quantitative field with 1 year of experience.
• Experience developing and applying statistical and machine learning models.
• Proficiency in Python for data analysis and modeling; SQL for querying relational databases.

Responsibilities

• Lead end-to-end data pipeline design for large-scale datasets, including ingestion and feature engineering.
• Translate business requirements into analytical frameworks and technical solutions.
• Present analytical findings and strategic recommendations to senior stakeholders.
• Design and apply advanced ML and Generative AI models to solve business problems and improve decisions.
• Mentor co-op data science students and guide teams on Generative AI adoption.

Skills

Statistical ML

Python

SQL

Data pipelines

NLP/Generative AI

Data Visualization

Education

Master’s degree in Data Science

Job description

Standard & Poor's Financial Services LLC is seeking a Senior Data Scientist at our New York office. The role involves leading end-to-end data pipelines for large-scale datasets, translating business needs into analytics, and presenting findings to senior leaders.

You will develop ML and Generative AI models to drive decision-making and mentor co-op students. Telecommuting is permitted within normal commuting distance of the New York office.