Senior Associate, Data Scientist - Applied AI
$136k - $155k • New York, NY • Full-time
Posted 1mo ago
About the job
As a Data Scientist on the Commercial Bank Applied AI team, you will be at the forefront of embedding Generative AI directly into core business processes. You will specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, and Tool-Calling Frameworks. This role is ideal for someone deeply passionate about the practical applications of Generative AI with hands-on experience in machine learning and AI, gained through professional industry work or rigorous academic research. You will partner with a cross-functional team to deliver Generative AI solutions, leveraging a broad stack of technologies to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will build Generative AI models and pipelines through all phases of 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, PyTorch, LangChain, AWS, Spark, 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 2 years of experience performing data analytics, OR a Master's Degree in a quantitative field or an MBA with a quantitative concentration.
- Master’s Degree in a STEM field, or PhD in a STEM field is preferred.
- At least 2 years of experience in Python, Scala, or R.
- At least 2 years of experience with machine learning.
- At least 2 years of experience with SQL.
- At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP.
Benefits
- Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being.