Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more to reveal the insights hidden within huge volumes of numeric and textual data.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) plus 7 years of experience performing data analytics
A Master's Degree or MBA with quantitative concentration plus 5 years' experience performing data analytics
A PhD in a quantitative field plus 2 years' experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
Experience in delivering libraries, platforms, or solution level code to existing products

Senior Manager, Data Science – AI Foundations

Key skills