# Manager, Data Scientist - Commercial Bank Strategy and Analytics at Capital One

Capital One is hiring a Manager, Data Scientist - Commercial Bank Strategy and Analytics. Level rates it Uses AI ●●○○; you can [apply on Capital One](https://jobsbylevel.com/go/78d69146-d63d-441f-a99a-cee58b0f864f?utm_medium=ai-agent).

AI Level 2, AI centrality 44 out of 100. McLean, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 2 (score 44 out of 100)
- Location: McLean, VA
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/78d69146-d63d-441f-a99a-cee58b0f864f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=manager-data-scientist-commercial-bank-strategy-and-analytics-at-capital-one-7a8be9

## Description

Manager, Data Scientist - Commercial Bank Strategy and Analytics 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. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown both organically and via acquisitions, covering Corporate & Industrial, Commercial Real Estate, and Structured Finance Products. On this team, you’ll get an opportunity to solve a diverse set of problems, with a diverse set of tools. In some settings, you’ll leverage open source programming or cloud computing to predict outcomes across multi-million record datasets. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with quantitative tools when forecasting rare or unprecedented events. It’s a growing team, full of exciting opportunities to solve a range of complex problems. Role Description In this role, you will: Partner with a cross-functional team of data scientists, business analysts, data 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 The Ideal Candidate is: 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. 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. 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. 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 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

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Source: https://jobsbylevel.com/jobs/manager-data-scientist-commercial-bank-strategy-and-analytics-at-capital-one-7a8be9

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