> Markdown version of [/jobs/ext/935416-senior-associate-data-scientist-model-risk-office](https://www.wearedevelopers.com/jobs/ext/935416-senior-associate-data-scientist-model-risk-office). 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 - Model Risk Office - **Company:** Capital One Financial Corporation - **Location:** Richmond, VA, United States - **Experience:** Expert - **Salary:** $123,300.0 - $140,700.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Python (Programming Language), Machine Learning, Open Source Technology, Sentiment Analysis, Workflow Management Systems, Cloud Platform System, Pytorch, Deep Learning, Model Validation, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations - **Published:** June 15, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-FCD0047CE9E05F6463/ ## About the Role * 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. * 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 or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 2 years' experience in Python, Scala, or R for large scale data analysis * At least 2 years' experience with machine learning ## Description * Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models * Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data * Build machine learning models to challenge "champion models" that are deployed in production today and contribute to the model governance framework for the next generation of models * Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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