Description
As a Senior Associate, Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One's talent advantage.
In this role, you will:
- Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation
- Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications
- Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products
- Leverage a broad stack of technologies , Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more , to reveal the insights hidden within large volumes of numeric and textual data
- Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.
The ideal candidate is passionate about human capital, innovative, creative, technical, and statistically-minded.
Basic qualifications include a Bachelor's Degree in a 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.
Preferred qualifications include a Master's Degree in a STEM field, experience working with AWS, Python, machine learning, SQL, and AI/ML tools and ecosystems.
This role is full-time and located in McLean, VA, with a salary range of $135,600 - $154,800 per year. The role is also eligible to earn performance-based incentive compensation.