Lead Data Scientist
At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Lead Data Scientist
Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation’s top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.
At Capital One, data is at the center of everything we do. When we launched 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 Lead Data Scientist in Capital One Card Partnerships, you will be part of a team that drives exciting results both for Capital One and for partners across industries such as Travel, Retail, and Automotive. You will work with proprietary datasets from Capital One and our partners to provide unique and unprecedented views of our customers.
On any given day you’ll be:
-Using Hadoop and related tools (Pig, Hive, Impala) to manage the analysis of billions of customer transaction records
-Writing software to clean and investigate large, messy data sets of numerical and textual data
-Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)
-Creating machine learning models from development through testing and validation to our 30+ million customers in production
-Designing rich data visualizations to communicate complex ideas to customers or company leaders
-Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow
The Ideal Candidate will be…
-Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You probably have a diploma and an impressive GPA, or you dropped out of college, taught yourself and routinely win Kaggle competitions.
-Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.
-Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you’ve shipped and what’s flopped.
-Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.
Twenty-five years after Capital One was started it’s still led by its founder. Be ready to join a community of the smartest folks you’ve ever met, who see the customer first, and want to use their data skills to make a difference.
Basic Qualifications:
-At least a Master’s Degree and a minimum of 2 years’ experience OR a Bachelor’s Degree and a minimum of 6 years of experience
-At least 2 years’ experience in open source programming languages for large scale data analysis
-At least 2 years’ experience with machine learning
-At least 2 years’ experience with relational databases
-At least 2 years’ experience with SQL
Preferred Qualifications:
- PhD
-3+ years’ experience in open source programming languages for large scale data analysis
-3+ years’ experience with machine learning
-3+ years’ experience with relational databases
-3+ years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to gender, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status protected 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 require an accommodation to apply for a job or to perform a job, please contact Capital One Recruiting at 1-800-304-9102 or [email protected].
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 [email protected]
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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).