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Data Scientist

Data Scientist

S&P Global, Inc.Ciudad de México, Mexico
Hace 5 días
Tipo de contrato
  • Teletrabajo
Descripción del trabajo

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.

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