> Markdown version of [/jobs/ext/4423294-senior-associate-data-scientist-applied-ai-financial-services](https://www.wearedevelopers.com/jobs/ext/4423294-senior-associate-data-scientist-applied-ai-financial-services). 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 - Applied AI (Financial Services) - **Company:** Capital One Financial Corporation - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $135,600.0 - $154,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Retrieval, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, Sentiment Analysis, Cloud Platform System, Deep Learning, Information Technology, Data Analytics - **Published:** October 2, 2026 - **Apply:** https://dejobs.org/x/x/74A3C15535364683A18F942AC6181098/job/ ## 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., * 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) * At least 2 years of experience in Python, Scala, or R * At least 2 years of experience with machine learning * At least 2 years of experience with SQL * At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP