Senior Data Scientist

Senior Data Scientist

Location:

Princeton, NJ or New York, NY, Charlottesville, VA, Toronto, ON, Calgary, AB, or Mexico City, MX. Hybrid – 2 days onsite per week.

The Collection Platforms & AI team builds machine‑learning powered products and capabilities to power natural‑language understanding, data extraction, information retrieval, and data sourcing solutions for S&P;
Global and its clients. The role involves leading the design, development, and productionization of AI products and pipelines in a global, collaborative environment.

• Develop and deploy large‑scale ML and GenAI‑powered products and pipelines.
• Own all stages of the data science project lifecycle: design, develop, deploy, monitor, and scale models throughout the full software development life cycle.
• 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, conduct code reviews, and optimize data‑science workflows.
• Evaluate, interpret, and communicate results to executive stakeholders.

• Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
• Proficiency in linear programming, optimization, and multi‑dimensional optimizers such as Adam, SGD, and gradient descent.
• Experience with large language models, prompt engineering, fine‑tuning, 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 NLP transformers, GNNs, and multimodal systems.
• Solid understanding of database structures and SQL.
• Ability to conduct independent research and apply cutting‑edge AI/ML methods in production.
• Experience with end‑to‑end GenAI or advanced NLP projects such as NER, table extraction, OCR integration, 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 of professional work within the AI space or building statistical/mathematical quantitative models in production.

• Advanced technical degree (Master’s or higher) in STEM fields.
• Experience in product ionizing AI applications.
• Experience with multi‑modal LLMs and integrating vision and text for autonomous agents.

• United States:
  Applicants must have indefinite right to work within the USA.
• Canada:
  Applicants must have indefinite right to work within Canada.

• Anticipated base salary range: $90,000 – $160,000, dependent on location, experience, and qualifications.
• Eligible for an annual incentive plan.
• Subject to standard company benefits.

• Anticipated base salary range: 95,000 – 140,000 CAD.
• Final compensation based on performance, location, experience, and other factors.
• Benefits aligned with Ontario regulations effective January 1, 2026.

• Health care coverage tailored to mind and body.
• Versatile downtime and generous time‑off policy.
• Continuous learning resources.
• Financial planning and retirement support.
• Family‑friendly perks.
• Additional workplace perks.

S&P;
Global is an equal‑opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

If you need an accommodation during the application process due to a disability, please send an email to  and your request will be forwarded to the appropriate person.