Sr. Manager, Data Science, Personalization & Optimization

    • Vienna, VA

Towers Crescent (12066), United States of America, Vienna, 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.

Sr. Manager, Data Science, Personalization & Optimization

Sr. Manager, Data Science, Personalization & Optimization

Team Description:

We are building the enterprise-wide personalization and experimentation platform that gives all Capital One customers real-time, personalized, intelligent experiences in our suite of award-winning digital products, including our website, mobile app and emails. This includes deploying A/B testing at scale, recommender systems and reinforcement learning.

We use data to develop a deep understanding of customers' needs and goals, and use a variety of statistical and machine learning approaches to deliver "the right message to the right customer at the right time in the right channel," so that they are empowered, informed, and have a great customer experience.

Role Description:

As the leader of the Personalization & Optimization data science team, you will be the hands-on leader of the team 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 a team 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 data platforms that will power the 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.

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.

Capital One is a nationally recognized and high-tech business banking company, offering better customized consumer and commercial lending and deposit financial services.

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