Senior Data Scientist

S&P Global•Charlottesville, VA

1d•$90,000 - $160,000•Hybrid

About The Position

The Collection Platforms & AI team is looking for a Senior Data Scientist to build ML-powered products and capabilities for natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global and its clients. This role involves spearheading the development of production-ready AI products and pipelines, leading by example in a highly engaging work environment within a global team that encourages thoughtful risk-taking and self-initiative. The impact of this role will be in developing the next generation of new products and enhancing existing ones to solve high-impact business problems. The position offers the opportunity to be part of a dynamic team that solves diverse problems using applied machine learning and web development with end-to-end implementation, build solutions at an enterprise scale, and grow with a highly skilled, hands-on technical team.

Requirements

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 (NumPy, Pandas, SpaCy, 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 GitHub, Kaggle, StackOverflow, technical blogs, or publications.
5+ years in professional work within AI space or building statistical/mathematical quantitative models in production.
Indefinite right to work within the USA (for US-based candidates).
Indefinite right to work within Canada (for Canada-based candidates).

Nice To Haves

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

Responsibilities

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.

Benefits

Health care coverage designed for the mind and body.
Generous time off.
Access to a wealth of resources to grow your career and learn valuable new skills.
Competitive pay.
Retirement planning.
Continuing education program with a company-matched student loan contribution.
Financial wellness programs.
Perks for partners and little ones.
Retail discounts.
Referral incentive awards.