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 Collection Platforms & AI team builds ML‑powered products and capabilities to power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global and clients. You will spearhead development of production‑ready AI products and pipelines while leading by example in an engaging, global team environment.

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.
• Partner 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 the AI space or building statistical/mathematical quantitative models in production.

Advanced technical degree (Master and above) in any of the Sciences, Technology, Engineering and Mathematics.

Experience in product ionizing AI applications.

Experience with multimodal 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 anticipated base salary range for this position is $90,000 – $160,000. Final base salary will be based on individual experience, qualifications, and geographic location.

This role is eligible for an annual incentive plan. It is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

Additional S&P Global benefits are available. For more information, please refer to the company benefits portal.

This role is open to candidates with indefinite right to work within Canada.

S&P Global states that the anticipated range of compensation for this position is 95,000 CAD to 140,000 CAD. Final compensation will be based on performance, geographic location, and experience level.

• Health & Wellness:
  Health care coverage designed for the mind and body.
• Flexible Downtime:
  Generous time off to keep you energized.
• Continuous Learning:
  Access to resources to grow your career and learn new skills.
• Invest in Your Future:
  Co…