Principal Associate, Data Scientist - Specialist Models
Company: Capital One
Location: Mc Lean
Posted on: April 1, 2026
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Job Description:
Principal Associate, Data Scientist - Specialist Models 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 AI 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 The Specialist Models
team builds AI and machine learning models that help our customers
and lines of businesses get timely & accurate recommendations,
reduce friction and prevent fraud . We build Recommendation
systems, AI Search Systems, Summarization tools, RAG based systems,
and Agentic AI systems, using LangChain, LangGraph, PyTorch on AWS
environment. Role Description In this role, you will: Partner with
a cross-functional team of data scientists, software engineers, and
product managers to deliver products customers love Leverage a
broad stack of technologies — Python, Conda, AWS, frontier
Foundation Models, Spark, and more — to reveal the insights hidden
within huge volumes of numeric and textual data Build AI and
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.
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. Creative. You thrive on bringing definition to big,
undefined problems. You love asking questions and pushing hard to
find answers. You’re not afraid to share a new idea. A leader. You
challenge conventional thinking and work with stakeholders to
identify and improve the status quo. You're passionate about talent
development for your own team and beyond. 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. 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,
Scala, or R 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 New York, NY: $176,500 -
$201,400 for Princ Associate, Data Science San Jose, CA: $176,500 -
$201,400 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, Charlottesville , Principal Associate, Data Scientist - Specialist Models, IT / Software / Systems , Mc Lean, Virginia
