Director, Data Scientist - External Data Strategy

Location: New York

* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data and insights that drive the business
* Leverage a broad stack of technologies — Python, Conda, AWS, Databricks, Spark, and more — to reveal the insights hidden within huge volumes of data
* Build machine learning models and data pipelines through all phases of development, from design through training, evaluation, validation, and implementation
* Develop deep subject matter expertise in consumer financial data and how that data enables Capital One to make the right decisions for our customers.
* Lead a team of 10-15 data scientists as a leader-of-leaders by setting a strategic agenda, providing technical oversight and guidance, and developing talented individual contributors and managers.
* Flex your interpersonal skills to translate the complexity of your work into tangible business goals
* 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.
* 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.
* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 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 7 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 4 years of experience performing data analytics
* At least 4 years of experience leveraging open source programming languages for large scale data analysis
* At least 4 years of experience working with machine learning
* At least 4 years of experience utilizing relational databases
* At least 3 year of experience working with AWS
* At least 3 year of experience managing people
* At least 5 years of experience in Python for large scale data analysis
* At least 5 years of experience with machine learning
* At least 5 years experience with Spark Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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