Senior Data Scientist

S&P Global • Charlottesville, VA

8d • $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. The team has a history of delivering breakthrough products and significant business value. In this role, you will develop next-generation products and enhance existing ones to solve high-impact business problems. You will be part of a dynamic team that solves diverse problems using applied machine learning and web development with end-to-end implementation from inception to productionizing. You will build solutions at an enterprise scale and contribute to solving high-complexity, high-impact problems end-to-end, building production-ready pipelines from ideation to deployment.

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.

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.
• 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.

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Perks for your partners and little ones, too, with some best-in class benefits for families.
• Retail discounts to referral incentive awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior