Senior Data Scientist

About the Role:

Grade Level (for internal use): 10

S&P Global Corporate

The Role:
Senior Data Scientist

Location: Princeton, NJ or New York, NY, or Charlottesville, VA. Toronto, ON, Calgary, AB, Mexico City, MX (hybrid
-2 days onsite per week)

The Team:

The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will spearhead development of production‑ready AI products and pipelines while leading‑by‑example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk‑taking and self‑initiative.

• The Collection Platforms & AI team has already delivered breakthrough products and significant business value over the last 5 years.
• In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high‑impact business problems.

• You will be part of a dynamic team that solves diverse problems using applied machine learning and web development with an end‑to‑end implementation of the solution: inception, prototyping, development, and product ionizing.
• Be a part of a global company and build solutions at enterprise scale.
• Be a part of and grow with a highly skilled, hands‑on technical team.
• Contribute to solving high‑complexity, high‑impact problems end‑to‑end.
• Build end‑to‑end production‑ready pipelines from ideation to deployment.

• Develop and deploy large‑scale ML and GenAI‑powered products and pipelines.
• Own all stages of the data science project lifecycle, including:
  • Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).
  • Perform exploratory data analysis, proof‑of‑concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.
  • Partnering with business leaders, domain experts, and end‑users to gather requirements and align on success metrics.
  • Follow coding standards, perform code reviews, and optimize data science workflows.
  • Evaluation, interpretation, and communication of results to executive stakeholders.

• Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
  • Linear programming and optimization.
  • Multi‑dimensional optimizers, such as Adam, SGD, Gradient Descent …
  • Ability to adjust weights for full/partial tuning of LLMs.
• Hands‑on experience with any large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine‑tuning/customization, and embedding‑based retrieval
• Intermediate to expert proficiency in Python (Num Py, Pandas, Spa Cy, scikit‑learn, PyTorch/TF 2, Hugging Face Transformers).
• Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems.
• Solid understanding of database structures and SQL.
• Ability to perform independent research and synthesize current AI/ML research, with a track record of applying new methods in production.
• Experience in end‑to‑end GenAI or advanced NLP projects, such as NER, table extraction, OCR integrations, or GNN solutions.
• Familiarity with orchestration and deployment tools:
  Airflow, Redis, Flask/Django/FastAPI, SQL, R‑Shiny/Dash/Streamlit.
• Openness to evaluate and adopt emerging technologies and programming languages as needed.
• Public contributions or demos on Git Hub, Kaggle, Stack Overflow, technical blogs, or publications.
• 5+ years in professional work within AI space or building statistical/mathematical quantitative models in production.

• Advanced technical degree (Master and above) in any of Sciences, Technology, Engineering and Mathematics.
• Experience in product ionizing AI applications.
• Experience with multi‑modal LLMs and integrating vision and text for autonomous agents.

This role is open only for candidates with indefinite right to work within the United States.

S&P Global states that the…