Manager, Data Scientist - Business Card & Payments
Company: Capital One
Location: Washington
Posted on: April 18, 2024
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Job Description:
NYC 299 Park Avenue (22957), United States of America, New York,
New YorkManager, Data Scientist - Business Card & PaymentsData 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 Business
Card & Payments Data Science team builds industry leading machine
learning models to empower credit underwriting decisionings,
supports advancement in Capital One business card product
strategies, decisioning and credit infrastructures. This team
builds full-rounded modeling solutions across customer life cycles,
with strong collaborations and engagement with business
stakeholders, cross functional partnerships including tech and data
engineers, to problem solve and develop modeling strategy and
solutions with innovative approach. 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: 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: 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,
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, Germantown , Manager, Data Scientist - Business Card & Payments, Executive , Washington, Maryland
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