Manager, Data Scientist, Customer Protection Data Science
Company: Capital One
Location: Clifton
Posted on: January 25, 2023
Job Description:
Center 2 (19050), United States of America, McLean,
VirginiaManager, Data Scientist, Customer Protection Data
ScienceData 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
DescriptionThe Customer Protection Data Science team builds machine
learning models that algorithmically identify fraudulent activity
in customer bank accounts covering a variety of transaction types
including deposits, withdrawals, and general money movement (e.g.
wire transfers). - Using methods of statistics, machine learning,
and software engineering, while leveraging cutting edge cloud based
compute infrastructure and tools such as Python, Dask, Docker, and
kubernetes, we continuously develop real-time intelligent solutions
that can quickly adapt to a constantly evolving fraud landscape. -
This work is core to delivering Capital One's mission to "Change
Banking for Good" and our continuous development of robust, data
driven, algorithmic fraud defenses allows us to continue to offer
easily accessible, secure, banking services for all of our
customers. - -Role DescriptionIn 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, Docker, AWS,
H2O, Dask, 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 goalsThe 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.
- 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.
- 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.Basic
Qualifications:
- 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 1 year of experience in data analytics
- 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 databasesPreferred
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, Dask, or Spark for
large scale data analysis
- At least 4 years' experience with machine learning
- At least 4 years' experience with SQLCapital 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 -. Eligibility
varies based on full or part-time status, exempt or non-exempt
status, and management level.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, race, color, age, national
origin, religion, physical and mental disability, genetic
information, marital status, sexual orientation, gender
identity/assignment, citizenship, pregnancy or maternity, protected
veteran status, or any other status prohibited by applicable
national, 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.comCapital 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 Scientist, Customer Protection Data Science, Executive , Clifton, Virginia
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