Associate Director of Data Science – RAG, NLP, LLM and GenAI (Hybrid or Remote) at S&P Global

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Risk ManagementIndustries

Requirements

Bachelor’s / Master’s or Ph.D degree in Computer Science, Mathematics, Statistics, Computational linguistics, Engineering, or a related field
8+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, RAG, and NLP
3+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools
Expert in Python programming

Responsibilities

Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering
Ensure solutions meet technical and business requirements
Work closely with other members of data science, MLOps, technology teams in the design, development, and implementation of ML model solutions
Develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, and reliability during development and UAT
Implement model optimizations to improve system efficiency
Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability
Collaborate closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems
Write and maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing
Ensure that models are designed and developed while adhering to specified standards, governance, and best practices in ML model development as specified by senior Data Science and MLOps leads
Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions

Skills

RAG

NLP

LLM

GenAI

Machine Learning

Deep Learning

Prompt Engineering

Model Fine-tuning

MLOps

Model Evaluation

Model Deployment

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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