Director, Data Science: External Data Intelligence (EDI) at Capital One - US
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R159320 Posted 10/26/2022

Director, Data Science: External Data Intelligence (EDI)

McLean, Virginia | New York, New York | Chicago, Illinois | Richmond, Virginia
  • Category Data Science
  • Experience Director
  • Primary Address McLean, Virginia

Overview

Center 1 (19052), United States of America, McLean, Virginia

Director, Data Science: External Data Intelligence (EDI)

Director, Data Science - External Data Intelligence

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.

The External Data Intelligence Team centrally manages research & development, feature exploration and development, vendor engagements, and analytical and product support for a variety of  key external data sources used across many Card decisioning and analytic use cases. The team drives value from new data and new features, and delivers exceedingly well-managed data products to modeling and business teams. 

Role Description:

You will lead the Bureau Data Strategy function of the External Data Intelligence team, delivering a great customer experience for users of credit bureau data, maintaining subject matter expertise on this centralized data source, creating high value credit features for use in predictive modeling in underwriting and other customer decisioning, and maintaining production code used across multiple decisioning services. The team keeps abreast of new developments in the industry, serves as the central subject matter experts on credit data, and manages relationships with multiple vendors, business teams, modeling teams, and platform teams. Fast-paced, technically skilled, and customer-oriented, the team continuously drives new value and sets the standard for centrally managed data products in the Capital One Card business.

This role will require the ability to effectively lead a hybrid team of analysts, data scientists, engineers, and product owners. The role requires strong analytical skills, knowledge of credit data and the credit data ecosystem, deep familiarity with modeling and credit underwriting, a vision on how to extract value from data, and a product-oriented mindset to build and maintain collaborative relationships with internal partners.

In this role, you will:

  • Partner with a cross-functional team of data scientists, analysts, 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 data

  • Build data engineering solutions through all phases of development, from design through development, evaluation, validation, and implementation

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

  • 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.

Basic Qualifications:

  • Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analytics

  • At least 4 years of experience in open source programming languages for large scale data analysis

  • At least 4 years of experience with machine learning

  • At least 4 years of experience with relational databases

Preferred Qualifications:

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • At least 3 years of experience managing people

  • At least 5 years of experience in Python, Scala, or R for large scale data analysis

  • At least 5 years of experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Location is New York City

- $260,592 and $307,440 for Dir, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Hiring Process
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  • Step 1 Apply

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