Capital One Senior Associate, Data Science in McLean, Virginia
McLean 1 (19050), 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.
Senior Associate, Data Science
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 distributed computing technologies and operating across billions and billions of customer transactions and petabytes of data to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
On any given day you’ll be:
-Using Big Data tools (Spark, H2O, AWS etc.) to conduct the analysis of billions of customer transaction and lifecycle records.
-Writing software to clean and investigate large, messy data sets of numerical and textual data. Building statistical / machine learning models from raw data on our millions of customers. Designing rich data visualizations to communicate complex ideas and insights to customers or company leaders
-Monitoring models in production to uncover early warning indicators of model failure / changes in credit cycle in the segment; developing tools for enhanced model monitoring and change point detection
-Independently evaluating existing models for their ability to serve a business objective, including development data creation, methodology selection, outcome analysis and performance monitoring
-Communicating your results/review/analyses to business/regulatory/customer stakeholders through suitable media, including but not limited to reports, presentations, demonstrations and visualizations
-Integrating with external data sources and APIs to discover interesting trends.
- Automating and innovating on existing processes to make them more efficient, accurate and scalable. Investigating the impact of new technologies on the future of 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.
-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.
-Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD
-At least 1 year of experience in open source programming languages for large scale data analysis
-At least 1 year of experience with machine learning
-At least 1 year of experience with relational databases
Master’s Degree in “STEM” field (Science, Technology, Engineering, and Mathematics)
Experience working with AWS
At least 1 year of experience with econometric or statistical analyses
At least 2 years’ experience in Python, Scala, or R
At least 2 years’ experience with machine learning
At least 2 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.