Data Scientist

S&P Global; Estado de México; Híbrido; MXN 562.218 - 937.031; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Be part of a global company

Collaborate with a skilled team

Contribute to high complexity problems

Descripción de la vacante

A leading financial services company in Mexico City seeks a Data Scientist to design and deploy machine learning products in a global team. You will leverage your expertise in Python and data science to solve high-impact problems and lead projects. This role requires at least 2 years of experience in data science, with a focus on NLP and machine learning models. The position allows for a hybrid work schedule, requiring 2-3 days onsite per week.

Formación

• 2+ years of professional experience in Data Science domain.
• Expertise in Python and relevant libraries.
• Strong experience in feature engineering and model building.

Responsabilidades

• Design, develop, and deploy ML powered products.
• Lead all stages of the data science project lifecycle.
• Perform code reviews and optimization.

Conocimientos

Python

Data Science

Machine Learning

NLP

SQL

Git

Debugging

OOP Design Patterns

Agile Principles

Herramientas

Numpy

Pandas

Spacy

Pytorch

TF2

HuggingFace

Linux

Descripción del empleo

Overview

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.

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 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
  • Stakeholder management and representing the team in front of our leadership
  • Leading and mentoring by example including project scrums

What We’re Looking For

• 2+ years of professional experience in 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 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
• 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, 2-3 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. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: [e-mail] and your request will be forwarded to the appropriate person.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Financial Services, Information Services, and Data Infrastructure and Analytics