S p enterprise data organization data scientist as a member of the data transformation team you will work on building ml powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for s p global market intelligence and our clients.
you will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative.
the data transformation team has already delivered breakthrough products and significant business value over the last 3 years.
what's in it for you: be a part of a global company and build solutions at enterprise scale collaborate with a highly skilled and technically strong team play a central role in all stages of the data science project life cycle, including: identification of suitable data science project opportunities partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments training large models both for experimentation and production develop production ready pipelines for enterprise scale projects perform code reviews optimization for your projects and team spearhead deployment and model scaling strategies leading and mentoring by example including project scrums 2+ years of professional experience in data science domain ~ expertise in python (numpy, pandas, spacy, sklearn, pytorch/tf2, huggingface etc.) ~ expertise in probabilistic machine learning model for classification, regression clustering ~ strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets.
~ exposure to information retrieval, web scraping and data extraction at scale ~ oop design patterns, test-driven development and enterprise system design ~ sql (any variant, bonus if this is a big data variant) ~ linux os (e.g. bash toolset and other utilities) ~ version control system experience with git, github, or azure devops.
~ software craftsmanship, adherence to agile principles and taking pride in writing good code ~ prior work to show on github, kaggle, stackoverflow etc.
cloud expertise (aws and gcp preferably) expertise in deploying machine learning models in cloud environments location: mexico city (santa fe, 2-3 days onsite a week) 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.