Manager, Data Science - Card Fraud Detection - Capital One
Company: Capital One
Location: Bayonne
Posted on: April 28, 2024
|
|
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaManager, Data Science - Card Fraud DetectionData 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 Card
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: 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: 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 custom code-driven
machine learning projects using packages such as XGBoost, pySpark,
H2O At least 4 years' experience with one of the following modeling
techniques: regression, classification, clustering, anomaly
detection, or feature selection 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): $197,400 - $225,300 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, Irvington , Manager, Data Science - Card Fraud Detection - Capital One, Executive , Bayonne, New Jersey
Click
here to apply!
|