Description
As a Senior Associate, Data Scientist at Capital One, you will be part of a team leading the next wave of disruption using the latest computing and machine learning technologies. You will apply expertise in unstructured data to harness the power of open-source large language models and visual language models.
Responsibilities:
- Apply expertise in unstructured data (text, image) to harness the power of open source large language models (LLMs) and visual language models (VLMs)
- Leverage a broad stack of technologies , LangGraph, LlamaIndex, Weights and Biases Weave, Hugging Face, PyTorch, AWS, and more , to automate workflows using huge volumes of text and vision data
- 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
- Assessing GenAI or LLM-Powered application architectures in production, including best practices for Generative AI development and deployments
- Define requirements for AI observability, focusing on the traceability of autonomous decisions and comprehensive system audit trails
- Evaluate the dynamic behavior of AI systems and oversee the development of key continuous monitoring controls and testing, ensuring that non-deterministic outputs and autonomous actions remain within risk appetite
- Get into the weeds of internal business processes and data operations by guiding annotators to curate high-quality, consistent datasets for model training, evaluation, and ongoing AI monitoring
- Collaborate on a team of data scientists through all phases of project development, from design through training, evaluation, validation, implementation, and maintenance
- Interact with a variety of internal stakeholders to ensure the alignment of data science solutions with business outcomes
The Ideal Candidate:
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing
- Innovative. You continually research and evaluate emerging technologies
- Creative. You thrive on bringing definition to big, undefined problems
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo
- Technical. You’re comfortable with open-source languages and are passionate about developing further
- Statistically-minded. You’ve built models, validated them, and backtested them
- A data guru. “Big data” doesn’t faze you
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A 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; A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 2 years’ experience in Python, Scala, or R
- At least 2 years’ experience with machine learning
- At least 2 years’ experience with SQL
- At least 2 years’ experience AI/ML tools and ecosystems, such as LangGraph, LlamaIndex, Weights and Biases Weave, Pytorch, or Hugging Face
Salary Information: McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science