Principal Associate, Data Scientist
Company: Capital One
Location: Mc Lean
Posted on: April 3, 2026
|
|
|
Job Description:
Principal Associate, Data Scientist Data 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 the Retail and Direct Bank, you’ll be part of a high
performing modeling and analytics team that is on a mission to
define the next generation of banking. The Bank team has a
relentless focus on the craft of statistical modeling and
innovation with a target towards continually improving decision
making and delivering value to the business. Role Description This
role offers a unique opportunity to be part of a dynamic analytics
and modeling team focused on developing behavior models for balance
sheet portfolios. We are currently looking for candidates with
strong modeling and analytical skills. This position will work with
other quantitative analysts, data scientists, and the business
analysts in developing and enhancing the deposit modeling framework
to support multiple business purposes in Capital One.
Responsibilities and Skills: Develop and support econometric
time-series models for the balance sheet Identify opportunities to
apply quantitative methods to improve business performance
Demonstrate track record in behavior model development Ability to
clearly communicate models and methods to management, model risk
office, regulators and other modelers Develop and maintain high
quality and transparent documentation 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.
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. Basic
Qualifications: Currently has, or is in the process of obtaining
one of the following with an expectation that the required degree
will be obtained on or before the scheduled start date: A
Bachelor's Degree in a quantitative field (Statistics, Economics,
Operations Research, Analytics, Mathematics, Computer Science, or a
related quantitative field) plus 5 years of experience performing
data analytics A Master's Degree in a quantitative field
(Statistics, Economics, Operations Research, Analytics,
Mathematics, Computer Science, or a related quantitative field) or
an MBA with a quantitative concentration plus 3 years of experience
performing data analytics A PhD in a quantitative field
(Statistics, Economics, Operations Research, Analytics,
Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications: Master’s Degree in “STEM” field (Science,
Technology, Engineering, or Mathematics) plus 3 years of experience
in data analytics, or PhD in “STEM” field (Science, Technology,
Engineering, or Mathematics) At least 1 year of experience working
with AWS At least 3 years’ experience in Python At least 3 years’
experience with machine learning At least 3 years’ experience with
SQL Capital 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.
McLean, VA: $161,800 - $184,600 for Princ Associate, 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
(EOE, including disability/vet) committed to non-discrimination in
compliance with applicable federal, state, and local laws. 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, Bel Air North , Principal Associate, Data Scientist, IT / Software / Systems , Mc Lean, Maryland
