Sr. Manager, Data Science
Plano 1 (31061), United States of America, Plano, Texas
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
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.
Here in Dallas, we are supporting our Financial Services division by using data science to drive differentiation across our mortgage, home equity, and auto loan businesses.
The focus of this role is in Capital One's Financial Services line of business, specifically in auto and home loan products and services.
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 difficulty in their financial lives.
On any given day you'll be:
-Scoping data science-driven project opportunities to self-disrupt and change the way we work, creating massive business and customer value in the process;
-Creating end-to-end data science solutions, inclusive of advanced models and analytics, to translate data-driven insights into actionable recommendations and outcomes;
-Working with the latest open source tools, libraries, platforms, and languages to explore massive datasets for actionable insights relationships to business drivers
-Working with our user experience and software development teams to develop rich data visualizations and interactive solutions to communicate complex ideas to customers and company leaders
-Partnering across the enterprise to enable and share best practices and reusable and scalable tools and code for our data scientists, data engineers, and data architects;
The Ideal Candidate will be:
-Technical. 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/or Python.
-Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art data science methods, technologies, and applications.
-Business-Minded. You can analyze customer needs and drive towards impactful business outcomes.
- Leader. You challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo.
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 6 years of experience in data analytics, or Master's Degree plus 4 years of experience in data analytics, or PhD plus 2 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.
-Master's Degree or Ph.D. in a "STEM" Major (Science, Technology, Engineering, or Math)
-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.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Back to top