Principal Associate, Data Scientist - Applied AI
$162k - $185k • New York, NY • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes, specializing in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, and Context Engineering. As a Data Scientist on this team, you will partner with a cross-functional group of experts to deliver Generative AI solutions, leveraging a broad stack of technologies including Python, LangChain, AWS, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will be involved in all phases of Generative AI model and pipeline development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.
Responsibilities
- Partner with a cross-functional team of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions.
- Leverage technologies like Python, LangChain, AWS, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines.
- Build Generative AI models and pipelines through all phases of development, including context engineering, fine-tuning, evaluation, validation, and deployment.
- Translate the complexity of technical work into tangible business goals.
Requirements
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics, OR Master's Degree in a quantitative field plus 3 years of experience, OR PhD in a quantitative field.
- Master’s Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field (preferred).
- At least 2 years of experience in AI, Information Retrieval, Deep Learning or NLP (preferred).
- At least 3 years of experience in Python, Scala, or R (preferred).
- At least 3 years of experience with machine learning (preferred).
- At least 3 years of experience with SQL (preferred).
Benefits
- Performance based incentive compensation (cash bonus(es) and/or long term incentives)
- Comprehensive, competitive, and inclusive set of health, financial and other benefits