Director of Data ScienceCapital One Financial Corporation - New York City, NY
Director of Data Science
R37843114 5th Ave (22114), 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
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 of 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.
In particular, our Small Business Card business has witnessed unparalleled double digit growth over the past few years! This, at a time when industry-wide data on small businesses continues to be scattered and unstructured and most importantly, without a primary linking key. Imagine what we could achieve if only we solved this problem!
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 disambiguation to accurately resolve entities across aggregated data, thereby enabling sophisticated models 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 improve entity resolution capabilities
Partner with data engineers to validate & deploy recommendations 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- particularly around information retrieval & disambiguation. You know R, Scala, and Python.
Innovative- You continually research and evaluate emerging technologies. You stay current on published state-of-the-art algorithms and models. Fundamentally, you disrupt & deliver a better way.
A Leader- You challenge conventional thinking and traditional ways of operating as you work with other leaders to drive significant improvements in a well-managed way. You lead your team by example.
A Communicator: You can communicate complex ideas clearly. Your team knows their priorities as does executive leadership.
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 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, or Bayesian methods.
-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, or Bayesian methods.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
10 days 1 hour ago
applyDirector of Data Science Capital One Financial Corporation - New York City, NY, United States
Capital One isn't just concerned with what's in your wallet; it's interested in your bank account as well. The company is best known as one of the largest issuers of Visa and MasterCard credit cards in the US, but it also boasts a banking network of approximately 1,000 branches, mainly in New York, New Jersey, Louisiana, Texas, and the Washington, DC area. Subsidiary ING Direct offers online and direct banking without branches. Capital One, which serves more than 50 million customers in the US, Canada, and the UK, also has units that offer auto financing, write home loans, sell insurance, and manage assets for institutional and high-net-worth clients.
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