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# Manager, Data Scientist, Travel Intelligence, Hotels

- **Company:** Capital One Financial Corporation
- **Location:** New York, NY, United States
- **Salary:** $197,300.0 - $225,100.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Relational Databases, Python (Programming Language), Machine Learning, Open Source Technology, Cloud Platform System, Apache Spark, Information Technology, Data Analytics
- **Published:** July 30, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3336300114&tx=YT1111TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## 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.
 * 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.
 * 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 4 years of experience in data analytics
 * At least 1 year of experience working with AWS
 * At least 5 years' experience in Python, Scala, or R for large scale data analysis
 * At least 5 years' experience with machine learning

## Description

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., * 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


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