Director, Data Science, Servicing Machine Learning

Employer
Capital One
Location
Vienna, Virginia
Posted
Feb 23, 2021
Closes
Mar 25, 2021
Ref
R103467
Function
Finance
Hours
Full Time
Towers Crescent (12066), United States of America, Vienna, Virginia

Director, Data Science, Servicing Machine Learning

Data is at the center of everything we do. 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 computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description:

Digital ML is the data science and machine learning team inside Capital One's Digital Products organization. We deliver real-time, personalized, intelligent customer experiences in Capital One's suite of award-winning digital products, including our website, mobile app, emails, intelligent assistant, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to delighting a combined 52 million customers each month and empowering them to manage their financial lives digitally.

Role Description:

As the leader of the Servicing ML data science team, you will be the leader of the teams of data scientists responsible for building recommender systems, reinforcement learning, and search, ranking and other models for customer experience optimization.

Responsibilities include:
  • Lead and mentor teams of data scientists.
  • Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in production systems that serve 50+ million customers.
  • Provide thought leadership within and outside of the team, and contribute to the product roadmap for the ML-driven customer experiences of the future.
  • Write software (primarily Python) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.
  • Partner closely with a variety of business and product teams across Capital One in domains like marketing, servicing and fraud prevention.


The Ideal candidate will be:
  • Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You're not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.
  • Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. You are not afraid of petabytes of data.
  • Statistically-minded. You have built models, validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning.
  • Customer and product oriented. You share our passion for changing banking for good, and have demonstrated experience working with web, social/behavioral, e-commerce, or similar data.


Basic Qualifications:
  • Bachelor's Degree plus 7 years of experience in data analytics, or Master's Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analytics
  • At least 3 years' experience in open source programming languages for large scale data analysis
  • At least 3 years' experience with machine learning
  • At least 3 years' experience with relational databases


Preferred Qualifications:
  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 1 year of experience managing people
  • At least 5 years' experience in Python, Scala, or R for large scale data analysis
  • At least 5 years' experience with machine learning


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

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