S&p; enterprise data organization lead data scientist the team : as a member of the edo, collection platforms & ai – cognitive engineering team you will work on building genai-driven and ml-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for s&p; integral.
you will define ai strategy, mentor others, and drive production-ready ai products and pipelines while leading by example in a highly engaging work environment.
you will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
what's in it for you: be a part of a global company and build solutions at enterprise scale lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) architect and oversee production-ready pipelines from ideation to deployment own all stages of the data science project lifecycle, including: identification and scoping of high-value data science and ai opportunities partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ml and genai approaches establish and enforce coding standards, perform code reviews, and optimize data science workflows drive deployment, monitoring, and scaling strategies for models in production (including both ml and genai services) mentor and guide junior data scientists; expert proficiency in python (numpy, pandas, spacy, scikit-learn, pytorch/tf 2, hugging face transformers) ~ proven experience on at least one end-to-end genai or advanced nlp project: custom ner, table extraction via llms, q&a; systems, summarization pipelines, ocr integrations, or gnn solutions ~ familiarity with orchestration and deployment tools: airflow, redis, flask/django/fastapi, sql, r-shiny/dash/streamlit ~ d. in computer science, statistics, mathematics, or related field (minimum bachelor's) ~6+ years of relevant experience in data science/ai, with at least 2 years in a leadership or technical lead role ~ public contributions or demos on github, kaggle, stackoverflow, technical blogs, or publications location: mexico city, santa fe (2-3 days a week onsite) 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.
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