Manager, Data Science
Company: Capital One
Location: Bowie
Posted on: May 12, 2022
Job Description:
Plano Town Center (31064), United States of America, Plano,
TexasManager, 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.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, 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 goalsThe 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.
- 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 phase 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:
- 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 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 SQLCapital One will consider
sponsoring a new qualified applicant for employment authorization
for this position.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, Bowie , Manager, Data Science, Executive , Bowie, Maryland
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