# Lead Data Scientist

**Company**: Standard & Poor’s Financial Services LLC
**Location**: NY NYC - 55 WATER ST
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $189,532 to $206,350
**Category**: Data Science
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/US---NY-NYC---55-WATER-ST/Lead-Data-Scientist_329786-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9f6a7e62-f58

## Description

Standard & Poor’s Financial Services LLC seeks a Lead Data Scientist responsible for leading the design and development of custom machine learning, Generative AI (GAI), Natural Language Processing (NLP), and Large Language Models (LLMs) for both batch and streaming AI/ML pipelines.

The Lead Data Scientist will architect solutions covering data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering. They will utilize industry-standard tools and frameworks including Python, PyTorch, and Hugging Face Transformers for model development & fine-tuning.

Responsibilities include:

- Collaborating with cross-functional teams to align solutions with technical and business requirements

- Designing and implementing robust evaluation frameworks to measure model performance, accuracy, consistency, and reliability

- Monitoring and applying model optimizations to enhance system efficiency and ensure continuous improvement

- Deploying models into production environments, ensuring high reliability, scalability, and performance of deployed systems

- Developing and maintaining comprehensive documentation of all ML modeling processes and procedures

Requirements:

- Master’s degree in Computer Science, Data Science, or a related IT field

- 3 years of experience in the job offered or related occupation, including:

+ Python programming   + Machine learning frameworks and statistical libraries, including PyTorch, Hugging Face Transformers, and LangChain   + Large Language Model (LLM) architectures   + Training, fine-tuning, and adapting large-scale LLMs for domain-specific applications

- Experience with Natural Language Processing (NLP) solutions using traditional and transformer-based architectures

The anticipated base salary range for this position is $189,532 to $206,350.

Benefits include:

- Health & Wellness: Health care coverage designed for the mind and body

- Flexible Downtime: Generous time off helps keep you energized for your time on

- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills

- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs

- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families

## Skills

### Required
- Python
- PyTorch
- Hugging Face Transformers
- LangChain
- Large Language Models
- Natural Language Processing
- Machine Learning

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