Senior Manager, Data Science - Business Card & Payments - Capital One
Company: Capital One
Location: Potomac
Posted on: April 18, 2024
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Job Description:
NYC 299 Park Avenue (22957), United States of America, New York,
New YorkSenior Manager, Data Science - 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: Customer
first. You love the process of analyzing and creating, but also
share our passion to do the right thing. You know at the end of the
day it's about making the right decision for our customers. A
leader. You challenge conventional thinking and work with
stakeholders to identify and improve the status quo. You're
passionate about talent development for your own team and beyond.
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. 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 7 years of experience in data analytics, or currently
has, or is in the process of obtaining a Master's Degree plus 5
years of experience in data analytics, or currently has, or is in
the process of obtaining PhD plus 2 years of experience in data
analytics, with an expectation that required degree will be
obtained on or before the scheduled start date At least 3 years'
experience in open source programming languages for large scale
data analysis At least 3 years' experience with machine learning At
least 3 years' experience with relational databases Preferred
Qualifications: PhD in "STEM" field (Science, Technology,
Engineering, or Mathematics) plus 4 years of experience in data
analytics At least 1 year of experience working with AWS At least 1
year of experience managing people At least 5 years' experience in
Python, Scala, or R for large scale data analysis At least 5 years'
experience with machine learning 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): $234,700 - $267,900 for Sr 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, Eldersburg , Senior Manager, Data Science - Business Card & Payments - Capital One, Executive , Potomac, Maryland
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