Manager, Data Science - Financial Services
Company: Capital One
Location: Plano
Posted on: March 12, 2025
Job Description:
Manager, Data Science - Financial Services at Capital One
summary:
As a Manager in Data Science at Capital One, you will leverage
machine learning and advanced analytics to optimize financial
services, leading a team that focuses on impactful applications
such as customer lifetime valuation and fraud detection. The role
requires collaboration with data scientists and engineers to
develop and implement machine learning models across vast customer
datasets. Candidates should have a robust background in data
analytics and programming, with proven experience in delivering
data-driven solutions in a fast-paced environment.
Manager, 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, 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: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 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, 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 goalsBasic 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 databasesPreferred
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, particularly Pandas,
Dask, or Spark 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.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.Plano, TX: $175,800 - $200,700 for
Mgr, Data Science; $204,900 - $233,800 for Sr Mgr, Data Science - -
- - - - - - - -Candidates 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 . 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 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:
data science, machine learning, financial services, data analytics,
customer insights, Python, AWS, model development, predictive
modeling, Capital One
Keywords: Capital One, Plano , Manager, Data Science - Financial Services, Executive , Plano, Texas
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