Data Science Manager

McLean 2 (19052), United States of America, McLean, Virginia

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.

Data Science Manager

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 100 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 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.

For this role we are looking for candidates to build models to enable us to vastly improve the way in which we run our technology operations. For example, we would like to make sense of data we capture from monitoring our production systems in AWS and to detect failures and deteriorating performance, to localize root causes and launch corrective action, all in real-time.

On any given day you'll be:

-Using leading edge tools (Spark, Kafka, H2O, AWS) to conduct the analysis of billions of records of streaming and at rest data

-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

-Designing rich data visualizations to communicate complex ideas to customers or company leaders

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, S and you're constantly exploring new open source tools.

-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 plus 4 years of experience in data analytics, or Master's Degree plus 2 years of experience in data analytics, or PhD

-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 in time series modeling

Preferred Qualifications:

-Master's Degree or PhD, especially PhD in an applied scientific field

-Strong background in Bayesian statistics

-Independent management of at least one project from conception to delivery

-At least 1 year experience working with AWS

-At least 4 years' experience in Python, Scala, or R for large scale data analysis, preferably with an additional language such as Java, C/C++, or Fortran 95+

-At least 4 years' experience with machine learning

-At least 4 years' experience with SQL

-At least 4 years' experience in time-series modeling

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


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