Associate Director of Data Science – RAG, NLP, LLM and GenAI (Hybrid or Remote) | Princet[...]

NLP PEOPLE; Colorado Springs (CO); Hybrid; USD 150,000 - 215,000; Full time

Job summary

An established industry player is seeking an Associate Director of Data Science to lead innovative projects in NLP, ML, and GenAI. This role offers a unique opportunity to harness your expertise in developing cutting-edge models that drive business value. Collaborate with talented teams to design and deploy robust machine learning solutions that meet technical and business requirements. If you're passionate about advancing AI technologies and making a significant impact, this position is perfect for you. Join a forward-thinking company that values integrity and discovery, and take your career to the next level.

Benefits

Annual incentive plan

Comprehensive benefits package

Flexible working options

Inclusive workplace environment

Qualifications

• 8+ years of experience in ML and NLP with a focus on large datasets.
• 3+ years of hands-on experience with Python and model development.

Responsibilities

• Design and develop ML models for AI pipelines and ensure business requirements are met.
• Collaborate with teams to integrate ML models into production systems.

Skills

Python Programming

Natural Language Processing (NLP)

Machine Learning (ML)

Generative AI (GenAI)

Large Language Models (LLM)

Data Analysis

Education

Bachelor's Degree in Computer Science

Master's Degree in Mathematics

Ph.D. in Computational Linguistics

Tools

Hugging Face

TensorFlow

Keras

PyTorch

Job description

Associate Director of Data Science – RAG, NLP, LLM and GenAI (Hybrid or Remote)

About the Role:
Grade Level (for internal use):
12
The Role: Associate Director of Data Science – RAG, NLP, LLM and GenAI

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.

Responsibilities and Impact:

1. ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.
2. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
3. 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.
4. 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.
5. Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
6. Develop Models Based on Standards and Best Practices: Ensure that the 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.
7. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

What We’re Looking For:

Basic Required Qualifications:

1. Bachelor’s / Master’s or Ph.D degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
2. 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. Demonstrated 3+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools. Expert in python programming.
4. 3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
5. 3+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.
6. Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI).
7. 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.
8. Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.

Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $150,000 – $215,000. 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 eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

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.

For more information, visit www.spglobal.com/ratings

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 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.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you-and your career-need to thrive at S&P Global.

Inclusive Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions.

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.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.

Job ID: 310834
Posted On: 2025-02-24
Location: New York, New York, United States

Company:

S&P Global

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Computational Linguistics, Industry, Language Modeling, Natural Language Processing, NLP, United States