Data Scientist S&P Global
- New York, NY 10041, United States
- Full-time
- In-person
- USD $110,000 - $120,000 per year
S&P Global is seeking a Data Scientist specializing in NLP and GenAI to join their innovative ML & Data Science team. This role is crucial for designing, developing, and implementing sophisticated machine learning models and data pipelines, contributing significantly to data-driven insights. The team is dedicated to transforming data into actionable intelligence, empowering organizations worldwide.
In this role you can expect to have the responsibilities:
- Design and develop ML, GenAI, NLP, and LLM models.
- Collaborate with team members on AI ML pipeline creation for batch and stream processing.
- Evaluate model performance to ensure accuracy and efficiency.
- Document ML modeling processes thoroughly.
- Adhere to standards and best practices for ML model development.
This role comes with the following benefits:
- Competitive base salary with an annual incentive plan.
- Comprehensive health and wellness coverage.
- Generous time off policies.
- Access to continuous learning and career growth resources.
- Family-friendly perks and financial wellness programs.
This role requires you to have:
- Hands-on experience with large data sets and ML solutions.
- Expertise in Python and experience with libraries like Hugging Face, TensorFlow, Keras, PyTorch, Spark.
- Experience in NLP model development, particularly with transformer architectures.
- Knowledge of search and retrieval solutions.
You would benefit from having:
- Familiarity with LLM and Generative AI development.
- Experience contributing to GitHub or participating in Kaggle competitions.
- Understanding of open-source platforms and trends in NLP.
S&P Global emphasizes diversity, equity, and inclusion as core values, committed to creating an equitable workplace. Compliance with a Securities Disclosure and Trading Policy is required. They are an equal opportunity employer, welcoming diverse candidates.
The content on this page is not written or managed by Alooba. Please reach out to S&P Global directly for any addtional information regarding this role.