Senior Associate, Data Science - Financial Services
Company: Capital One
Location: Argyle
Posted on: January 27, 2023
Job Description:
Plano 6 (31066), United States of America, Plano, TexasSenior
Associate, Data Science - Financial ServicesData 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's Auto Finance
business, you'll be part of a high performing modeling and
analytics team that's leading the next wave of disruption at a
whole new scale. Our team has a relentless focus on the craft of
modeling and innovation, 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.Capital One's
Auto Finance business has been growing massively year over year on
the heels of a robust strategic agenda advancing our technological
capabilities to bring the best possible experience to our
customers. We face the unique challenge of building products to
directly serve dealerships and consumers, while also building
robust modeling systems to manage our lending risks. The Data
Science team is driving every stage of business strategy and
product development, ranging from marketing and personalization,
underwriting, pricing, valuation, loss forecasting, image
recognition, text analytics.In this role you will:
- You will be part of a cross-functional team of data scientists,
business analysts, and software engineers to deliver world-class
analytical or modeling solutions to solve complex business
problems
- Leverage a broad stack of technologies - Python, Conda, AWS,
Spark, and more to stay up-to-date on the latest cutting-edge
technologies - 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.
- 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.
- 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.Basic Qualifications:
- Bachelor's Degree plus 2 years of experience in data analytics,
or Master's Degree, or PhD
- At least 1 year of experience in open source programming
languages for large scale data analysis
- At least 1 year of experience with machine learning
- At least 1 year of experience with relational
databasesPreferred Qualifications:
- Master's Degree in "STEM" field (Science, Technology,
Engineering, or Mathematics), or PhD in "STEM" field (Science,
Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 2 years' experience in Python, Scala, or R
- At least 2 years' experience with machine learning
- At least 2 years' experience with SQL -
- Experience in advanced statistical modeling and optimization
such as linear regression, logistic regression, tree-based
modeling, generalized additive models, Bayesian statistics,
time-series, non-parametric, optimization, experimental
designCapital One will consider sponsoring a new qualified
applicant for employment authorization for this position.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 -. Eligibility varies based on full
or part-time status, exempt or non-exempt status, and management
level.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, Dallas , Senior Associate, Data Science - Financial Services, Accounting, Auditing , Argyle, Texas
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