Manager, Data Science - Fraud, Deep Learning - Capital One
Company: Capital One
Location: Vienna
Posted on: April 18, 2024
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Job Description:
11 West 19th Street (22008), United States of America, New York,
New YorkManager, Data Science - Fraud, Deep LearningManager, Data
Scientist, Fraud 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 The Fraud Data Science team builds the
machine learning models that help protect our customers and Capital
One against fraudsters. We prevent fraud at many steps of a
customer journey, from the application to spending and payments,
using real-time models. We care very deeply about doing things the
right way, automating, and innovating to improve the customer
experience and prevent fraud. In this role, you will: Utilize Deep
Learning and Sequence Modelling techniques to build Fraud models
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, Pytorch, Tensorflow 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: 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.
Technical. You're comfortable with open-source languages and are
passionate about developing further. You have hands-on experience
developing data science solutions using open-source tools and cloud
computing platforms. Statistically-minded. You've built models,
validated them, and backtested them. You know how to interpret a
confusion matrix or a ROC curve. You have experience with
clustering, classification, sentiment analysis, time series, and
deep learning. 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 is often
the key to great data science. 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: At
least 1 year of experience working with AWS At least 2 years'
experience building advanced Deep Learning architectures (for
example: RNN's, CNN's, Transformers) At least 2 years' experience
with Pytorch, Tensorflow or other Deep Learning frameworks At least
4 years' experience in Python, Scala, or R 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. 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, and refers to the
amount Capital One is willing to pay at the time of this posting.
Salaries for part-time roles will be prorated based upon the agreed
upon number of hours to be regularly worked. New York City (Hybrid
On-Site): $201,400 - $229,900 for Mgr, Data ScienceCandidates 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. 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
RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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).
Keywords: Capital One, Arlington , Manager, Data Science - Fraud, Deep Learning - Capital One, Executive , Vienna, Virginia
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