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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Scientist - Alternative Data Strategy - **Company:** Capital One Financial Corporation - **Location:** McLean, NY, United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Relational Databases, Monitoring of Systems, Python (Programming Language), Machine Learning, Open Source Technology, Sentiment Analysis, SQL Databases, Cloud Platform System, Apache Spark, Deep Learning, Data Strategy, Information Technology, Data Analytics - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/manager-data-scientist-alternative-data-strategy-mclean-ny--0008130b-fdc0-4557-bb0f-0b471aed782f ## About the Role Data Science, Data Science, Startup, Credit Cards, Leading Edge Technology, Relational Databases (RDBMS), Statistical Modeling, Machine Learning, Time Management, Risk, * 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 6 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 plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases, * PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics * At least 1 year of experience working with AWS * At least 4 years' experience in Python, Scala, or R for large scale data analysis * At least 4 years' experience with machine learning * At least 4 years' experience with SQL ## Description Manager, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making., The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities., * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.