Data Scientist

About the Role:

We are seeking a Data Scientist to join our Data Transformation team. As a member of this 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.

The Impact:

• The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
• In this role, you will be developing our next generation of new products while enhancing existing ones, aiming at solving high-impact business problems.

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
• Contribute to solving high complexity, high impact problems

Key Responsibilities

• Design, Develop, and Deploy ML powered products and pipelines
• 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
  • Evaluation/interpretation of results and presentation to business leaders
  • Performing exploratory data analysis, proof-of-concept modeling, 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
  • Stakeholder management and representing the team in front of our leadership
  • Leading and mentoring by example, including project scrums

What We’re Looking For:

• +3 years of professional experience in the Data Science domain
• Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace, etc.)
• Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
• Expertise in probabilistic machine learning models 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
• Problem-solving and debugging skills
• Software craftsmanship, adherence to Agile principles, and taking pride in writing good code
• Techniques to communicate change to non-technical people

Nice to have

• Prior work to show on Github, Kaggle, StackOverflow, etc.
• Cloud expertise (AWS and GCP preferably)
• Expertise in deploying machine learning models in cloud environments
• Familiarity in working with LLMs

Location: Mexico City (Santa Fe, 2 days onsite a week)

Equal Opportunity Employer

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.