Capital One Director, Data Science in New York, New York

11 West 19th Street (22008), United States of America, New York, New York

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.

Director, Data Science

Capital One offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #100 on the Fortune 500, Capital One has one of the most widely recognized brands in America.

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! This innovation, and our passion for data, has made us a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it’s still led by its founder.

The Commercial Banking Innovation team is redefining the way our business operates in an increasingly digital world. Our cross-functional, agile teams of data scientists, product managers, software engineers, UX designers and business experts collaborate to develop new products, improve customer experience and develop sophisticated analytical capabilities. We are pioneering the application of big data and machine learning technology across a range of industries, such as healthcare, energy and commercial real estate.

Be ready to join a community of the smartest people you’ve ever met, who put the customer first and want to use their data skills to make a difference.

Role Summary:

As a Data Scientist Leader, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale. You’ll use the latest techniques in information retrieval and evaluation to build sophisticated models & data products to power business decision making.

On any given day you’ll:

  • Lead a team of data scientists to explore & evaluate the landscape of data, tools & cutting-edge techniques to build predictive models (including machine learning).

  • Develop rich insights and data visualizations to communicate ideas to customers or company leaders.

  • Partner with data engineers to validate & deploy solutions in an efficient, sustainable & usable manner.

  • Build, motivate & mentor a team of data scientists to grow their skills and careers.

  • Build relationships both within Capital One and the external data science community to continue to attract & develop top-tier talent.

The Ideal Candidate will be:

  • A Technical Expert: You have hands-on experience developing data science solutions, from concept to production, and selecting the right tool for the job at hand. You understand modern cloud computing. You have experience prototyping and implementing data science solutions in an enterprise. You know R, Scala, and Python.

  • An Innovator: You continually research and evaluate emerging technologies. You stay current on published state-of-the-art algorithms and models. You obsess over model risk and governance. Fundamentally, you disrupt & deliver a better way.

  • A Product Leader: You develop & implement data products that the business (as your customer) can seamlessly integrate into decision making.

  • A Problem Solver: You can analyze customer needs and drive towards impactful business outcomes.

  • A People Leader: You lead by example. You are a role model for your team.

  • A Communicator: You communicate complex ideas clearly. Your team knows their priorities as does executive leadership.

Basic Qualifications:

  • Bachelor’s Degree plus 8 years of experience in data analytics, or Master’s Degree plus 6 years of experience in data analytics, or PhD plus 4 years of experience in data analytics

  • At least 3 years’ coding experience with open source programming languages such as R, Python, or Scala;

  • At least 3 years’ experience developing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-series analysis.

Preferred Qualifications:

  • Master’s Degree in a “STEM” Major (Science, Technology, Engineering, or Math) plus 6 years of experience in data analytics, or a PhD in a “STEM” Major plus 4 years of experience in data analytics

  • At least 1 year experience working with AWS, Azure, or similar cloud platform

  • At least 5 years’ experience developing commercial solutions in Python, Scala, or R

  • At least 5 years’ experience developing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-series analysis.

  • At least 3 years of experience mentoring junior data scientists and providing technical governance and oversight

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