Manager, Data Science - Financial Services

Posted Yesterday
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Plano, TX
Hybrid
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Change everything. Starting with your career.
The Role
As a Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to develop machine learning models, analyze large datasets, and translate complex data insights into business strategies. Your focus will be on applications zoals customer lifetime valuation and fraud detection, employing technologies like Python and SQL while fostering cross-functional teamwork.
Summary Generated by Built In

Locations: TX - Plano, United States of America, Plano, Texas
Manager, Data Science - Financial Services
Data is at the center of everything we do. 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.
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 the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
As a Data Scientist at Capital One's Auto Finance business, you'll be part of a high performing modeling and analytics team that's leading the next wave of disruption at a whole new scale. Our team has a relentless focus on the craft of modeling and innovation, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. You'll drive the heart of business by working on an array of impactful and exciting applications like customer lifetime valuation, product recommendation, fraud detection, and productivity improvement via Generative AI.
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, GitHub, Sagemaker, SQL, AWS 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


Basic Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 2 years' experience in open source programming languages for large scale data analysis
  • At least 2 years' experience with machine learning
  • At least 2 years' experience with relational databases


Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years' experience in Python, particularly Pandas, Dask, or Spark for large scale data analysis
  • At least 4 years' experience with machine learning
  • At least 4 years' experience with SQL


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. 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; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Top Skills

Python

What the Team is Saying

Ryan Page
Kristen Cornelsen
Natalia Bachmann
The Company
HQ: McLean, VA
55,000 Employees
Hybrid Workplace
Year Founded: 1994

What We Do

At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers, small businesses, and commercial clients. And each new idea makes life better for millions of people.

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Capital One Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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HQMcLean, VA
Atlanta, GA
Bengaluru, Karnataka
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Boston, MA
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Chicago, IL
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London, GB
Mexico City, MX
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New York, NY
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Nottingham, GB
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Philadelphia, PA
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Plano, TX
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Richmond, VA
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San Francisco, CA
Toronto, ON
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