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  • Emplois similaires à : Data Analytics Manager, Cards & Payments
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Director, Data Scientist - Business Cards & PaymentsHobbsnews • Virginia, Minnesota, United States
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Director, Data Scientist - Business Cards & Payments

Hobbsnews
  • US
    Virginia, Minnesota, United States
  • US
    Virginia, Minnesota, United States
Postuler Maintenant

À propos

Director, Data Scientist – Business Cards & Payments Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring every offer using statistical modeling and relational databases, 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 big opportunities that help everyday people save money, time, and ease in their financial lives.
Team Description The BC&P Data Science team enables smarter predictions across the full customer lifecycle for Capital One’s Business Cards & Payments products. We build advanced ML solutions—backed by robust data infrastructure and rich behavioral signals—to power decisions at every stage. We work closely with business and technology partners to translate these capabilities into outcomes that serve both business strategy and customer needs.
Role Description In this role, you will:
Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies—Python, Conda, AWS, H2O, Spark, and more—to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state‑of‑the‑art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data often is the key to great data science.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
A master’s degree in a quantitative field… or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
A PhD in a quantitative field plus 4 years of experience performing data analytics
At least 4 years of experience leveraging open‑source programming languages for large‑scale data analysis
At least 4 years of experience working with machine learning
At least 4 years of experience utilizing relational databases
Preferred Qualifications
PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
At least 1 year of experience working with AWS
At least 3 years of experience managing people
At least 5 years of experience in Python, Scala, or R for large‑scale data analysis
At least 5 years of experience with machine learning
Compensation & Benefits The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations. McLean, VA: $269,100 – $307,200 for Director, Data Science New York, NY: $293,600 – $335,100 for Director, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website.
Equal‑Opportunity Employer Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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  • Virginia, Minnesota, United States

Compétences linguistiques

  • English
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