Chief Data Scientist –Product Innovation

  • Company: Capital One
  • Location: McLean, Virginia
  • Posted: June 08, 2016
  • Reference ID: R4449
114 5th Ave (22114), United States of America, New York, New York

Chief Data Scientist –Product Innovation

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.

We are selectively recruiting a forward thinking, entrepreneurial Data Science leader for our Consumer Product Innovation group. As the team’s chief data scientist, you will define the learning agenda for our data team. You will work with product and engineering to improve our existing data products and launch clever new ones. 

This opportunity requires experience with machine learning and statistical analysis, good programming and scripting capabilities, and great communication skills.  The role is roughly 65% thought leadership and management and 35% hands-on working with data.

-Lead a bold agenda around the use of transaction data in new creative ways

-Utilize big data and machine learning tools to screen checking applicants in real time 

-Develop and mentor a team of junior data scientists to move the agenda forward

-Build and launch the data foundations of our new products

-Collaborate with Engineering to design the optimal data architecture for a new scale platform

-Collaborate with Product to develop new use cases and expand the business in new directions

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 5 years’ experience OR a Bachelor’s Degree and a minimum of 6 years of experience 
-At least 5 years’ experience in open source programming languages for large scale data analysis 
-At least 5 years’ experience with machine learning 
-At least 5 years’ experience with relational databases 
-At least 5 years’ experience with SQL 

Preferred Qualifications
- PhD 
-9+ years’ experience in open source programming languages for large scale data analysis 
-9+ years’ experience with machine learning 
-9+ years’ experience with relational databases 
-9+ years’ experience with SQL 

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


Share this Job