Manager, Data Scientist - Business Card & Payments
Company: Capital One
Location: Annandale
Posted on: April 19, 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, Burke , Manager, Data Scientist - Business Card & Payments, Executive , Annandale, Virginia
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