Manager, Data Science - Financial Services - Capital One
Company: Capital One
Location: Garland
Posted on: April 25, 2024
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Job Description:
Plano 7 (31067), United States of America, Plano, TexasManager,
Data Science - 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 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: Master's Degree in
"STEM" field (Science, Technology, Engineering, or Mathematics), or
PhD in "STEM" field (Science, Technology, Engineering, or
Mathematics) At least 4 years' experience utilizing cloud-based
solutions (AWS, Azure, Google Cloud) At least 4 years of 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 , Manager, Data Science - Financial Services - Capital One, Accounting, Auditing , Garland, Texas
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