Director of Data Science - NLP, LLM and GenAI

S&P Global
New York, New York
Jun 12, 2024
Jun 22, 2024
Position Type
Director, Scientist, Data
Full Time
Organization Type
Corporate, Other Corporate
About the Role:
Grade Level (for internal use):
The Role: Director of Data Science - NLP, LLM and GenAI

The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team. The ideal candidate must have deep design and hands-on development expertise in ML, LLMs, model development and integrating ML solutions with business functions to create the next generation of AI-powered capabilities.

  • ML, Gen AI, NLP, LLM Strategy: Develop and implement ML modeling and LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation
  • ML, Gen AI, NLP, LLM Model Design and Development: Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. Work closely with members of technology and business leads and their teams in the design, development, and implementation of the ML model solutions
  • ML, NLP, LLM Model Evaluation: Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Identify and implement model optimizations to improve system efficiency.
  • NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
  • Internal Collaboration: 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.
  • Stakeholder Engagement and Collaboration: Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
  • Mentorship: Recruit, develop and mentor technical AI/ML, NLP, LLM, Gen AI talent on the team Provide guidance and mentorship to junior ML scientists, fostering their professional growth and development.
  • Documentation: Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
  • Standards and Best Practices: Ensure the use of standards, governance and best practices in ML model development, and adherence to model and data governance standards.
  • Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
Compensation/Benefits Information (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is $180,000 - $225,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here .

What We're Looking For:
  • Ph.D (preferred), Bachelor's or Master's degree in Computer Science, Mathematics or Statistics , Computational linguistics, Engineering, or a related field.
  • 7+ 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, NLP, computer vision solutions.
  • Demonstrated 4+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.
  • 4 or more years project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE)
  • 5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
  • 5+ year's experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.
  • Strong knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
  • Experience in creating reports, projections, models, and presentations to support business goals and outcomes.
  • Ability to exercise independent judgment and decision making on complex issues regarding initiatives, technical and business goals and related tasks.
  • Experience with mentoring junior ML scientists,
  • Ability to works under minimal supervision, using independent judgment.
  • Excellent written & verbal communication and stakeholder management skill
  • Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.
  • Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Strong familiarity with higher level trends in LLMs and open-source platforms
  • Nice to have: Experience with contributing to Github and open source initiatives or in research projects
This role is limited to persons with indefinite right to work in the United States.

S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.

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What's In It For You?

Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence , pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits: . click apply for full job details