Senior Data Scientist

About The Role

Grade Level: 10

Position:
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 for natural language understanding, data extraction, information retrieval, and data sourcing solutions.

You will spearhead development of production‑ready AI products and pipelines while leading by example.

• Delivered breakthrough products and business value over the last 5 years.
• Develop next‑generation products and enhance existing ones to solve high‑impact business problems.

• Diverse problems using applied machine learning and web development with end‑to‑end implementation.
• Build solutions at enterprise scale with a global company.
• 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: develop, deploy, monitor and scale models through the full Software Development Life Cycle into production (including 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.

Evaluate, interpret, and communicate results to executive stakeholders.

• Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
• Hands‑on experience with large language models (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 (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 (NER, table extraction, OCR integrations, 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 or higher) in STEM.
• Experience in product ionizing AI applications.
• Experience with multi‑modal LLMs and integrating vision and text for autonomous agents.

Open only for candidates with indefinite right to work within the USA (U.S. candidates) or Canada (Canadian candidates).

Anticipated base salary: $90,000 – $160,000, adjusted for location and experience.

Eligible for an annual incentive plan.

Anticipated range: 95,000 CAD – 140,000 CAD, adjusted for performance, location, and qualifications.

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.

Job

Posted On:

Location:

Charlottesville, Virginia, United States