> Markdown version of [/jobs/ext/2283736-senior-associate-data-scientist-us-card-applied-genai](https://www.wearedevelopers.com/jobs/ext/2283736-senior-associate-data-scientist-us-card-applied-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Associate, Data Scientist - US Card (Applied GenAI) - **Company:** Capital One Financial Corporation - **Location:** York, NY, United States - **Experience:** Expert - **Salary:** $135,600.0 - $154,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Information Technology Audit, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, DataOps, Sentiment Analysis, Unstructured Data, Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations - **Published:** August 28, 2026 - **Apply:** https://www.capitalonecareers.com/job/mclean/senior-associate-data-scientist-us-card-applied-genai/1732/99761825760 ## About the Role * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science., * 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, * 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 ## Description The Servicing Intelligence team delivers data science solutions to capture value from unstructured, multi-modal data sources - text, image, and audio data. We operate as an applied data science team, building with open source generative AI models and tooling, but prioritizing application over research to scale the adoption of AI with in-market solutions. You will sit on a team of data scientists that collaborates daily with product, tech, and business teams to embed AI in varied domains, including frontline agent servicing, back office document processing, AI for regulatory compliance, and overall customer experience. Your work will apply generative AI on millions of inputs, spanning from extracting key information from unstructured documents to analyzing call transcripts to resolve the root cause of customer friction. As a core member of the team, you will be the driving force to create best-in-class products and experiences powered by the latest emerging generative AI technologies. Role Description: In this role, you will: * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)