Senior Associate Data Scientist - Statistical Analysis, Financial Services - Capital One
Company: Capital One
Location: Garland
Posted on: May 8, 2024
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Job Description:
Plano 7 (31067), United States of America, Plano, TexasSenior
Associate Data Scientist - Statistical Analysis, Financial
ServicesAt Capital One, we think big and do big things. We are a
Top-10 bank by deposits-a high-tech company, a data driven company,
and a nationally recognized brand. Our products reach tens of
millions of consumers and have been recognized by numerous
prestigious awards for their customer-friendliness. Capital One was
the first major bank to move to cloud computing and to publish APIs
for the Open Banking future. AI is transforming every industry, at
Capital One you will shape how it transforms financial services.
Team Description: 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. You'll drive
the heart of business by working on an array of impactful and
exciting applications like customer lifetime valuation, product
recommendation, fraud detection, and productivity improvement via
Generative AI. 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, GitHub, Sagemaker,
SQL, AWS 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. 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 hypothesis testing,
classification, clustering, time series, and causal inference.
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: Currently has, or is in the
process of obtaining a Bachelor's Degree plus 2 years of experience
in data analytics, or currently has, or is in the process of
obtaining Master's Degree, or currently has, or is in the process
of obtaining PhD, with an expectation that required degree will be
obtained on or before the scheduled start date 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 databases Preferred
Qualifications: Master's Degree in "STEM" field (Science,
Technology, Engineering, or Mathematics), or PhD in "STEM" field
(Science, Technology, Engineering, or Mathematics) At least 2
years' experience utilizing cloud-based solutions (AWS, Azure,
Google Cloud) At least 2 years' experience in a broad stack of
technologies (Python, GitHub, Sagemaker, SQL, R) Experience in
advanced statistical modeling and optimization such as causal
inference, hypothesis testing, linear regression, logistic
regression, generalized additive models, Bayesian statistics,
time-series and non-parametric modeling Capital 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 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, Wylie , Senior Associate Data Scientist - Statistical Analysis, Financial Services - Capital One, Accounting, Auditing , Garland, Texas
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