# Senior Associate, Data Scientist - US Card (Applied GenAI)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $135,600 - $154,800 for Sr Assoc, Data Science (McLean, VA); $148,000 - $168,900 for Sr Assoc, Data Science (New York, NY)
**Category**: Data Science
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Associate--Data-Scientist---US-Card--Applied-GenAI-_R248139-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8cf5f578-e72

## 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

## Skills

### Required
- Python
- machine learning
- SQL
- open-source languages
- data analytics
- statistical modeling
- NLP
- LLMs
- VLMs

### Nice to have
- AWS
- LangGraph
- LlamaIndex
- Weights and Biases Weave
- Pytorch
- Hugging Face
- Scala
- R

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Associate--Data-Scientist---US-Card--Applied-GenAI-_R248139-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)