Capital One Lead Data Scientist in Machine Learning and Artificial Intelligence Tech College in Muntinlupa, Philippines

McLean 1 (19050), United States of America, McLean, Virginia

Lead Data Scientist in Machine Learning and Artificial Intelligence Tech College

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 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 algorithms, distributed computing technologies, and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

As a member of the Machine Learning and Artificial Intelligence discipline of Capital One’s Tech College, you’ll be part of a team responsible for curating, designing, developing, and delivering highly engaging learning experiences that will fuel our growth as a tech company and help our associates develop cutting-edge skills in machine learning and artificial intelligence.

On any given day you’ll be:

-Using Big Data tools (Hadoop, Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records, in order to find out what works and what doesn’t for which applications.

-Creating or curating educational content to help your Capital One peers stay on top of the latest machine learning and artificial intelligence tools and techniques.

-Teaching classes or holding office hours in support of others’ learning.

-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

-Building 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 digital 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 disruptive idea. You probably know Python, Scala, or R and you’re constantly exploring new open source tools.

-Communicative. You’ll be sharing what you know with others in the form of papers, on-line classes, blog posts, and in-person classes.

-Wrangler. You know how to programmatically extract data from a database and an API, bring it through a transformation or two, and model it into human-readable form (ROC curve, map, d3 visualization, Tableau, etc.).

-Creative. Big, undefined problems and petabytes of data don't frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.

Twenty-five years after Capital One was started it’s still led by its founder. Be ready to join a community of the smartest people you’ve ever met, who see the customer first, and want to use their data skills to make a difference.

Basic Qualifications:

-Bachelor’s Degree or military 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

Preferred Qualifications:

-Master’s Degree or PhD

-At least 1 year experience teaching technical topics

-At least 1 year experience creating learning materials

-At least 1 year experience working with AWS, Azure, Google Cloud, or similar solution

-At least 4 years’ experience in Python, Scala, or R for large scale analysis

-At least 4 years’ experience with machine learning

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