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.

#J-