As a Data Scientist at S&P Global, 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.
Requirements
- 4+ 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
Benefits
- Health & Wellness
- Flexible Downtime
- Continuous Learning
- Invest in Your Future
- Family Friendly Perks
- Beyond the Basics
