Principal Associate, Data Scientist - NLP
Company: Capital One
Location: Mc Lean
Posted on: April 1, 2026
|
|
|
Job Description:
Principal Associate, Data Scientist - NLP 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 AI
Foundations Specialist Models Data Science team builds and ships
state of the art scalable architecture, AI/ML solutions for Capital
One’s award-winning mobile app. We partner with product, tech and
design teams to deliver app features that delight customers with
dynamic and personalized experiences, enable them to chat with
Capital One’s digital assistant Eno, or search for useful contents.
You will be the driving force to experiment, innovate and create
next generation experiences powered by the latest emerging
generative AI technologies. In this role, you will: Partner with a
cross-functional team of data scientists, software engineers,
machine learning engineers and product managers to deliver AI
powered products that change how customers interact with their
money. Leverage a broad stack of technologies — Pytorch, AWS
Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and
more — to reveal the insights hidden within huge volumes of numeric
and textual data. Be the expert in Natural Language Processing
(NLP) to harness the power of Large Language Models (LLMs), adapt
and finetune them for customer facing applications and features.
Build machine learning and NLP models through all phases of
development, from design through training, evaluation, and
validation; partnering with engineering teams to operationalize
them in scalable and resilient production systems that serve 80
million customers. 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 advanced ML and DL technologies
including language models and are passionate about developing
further. You have hands-on experience working with LLMs and
solutions using open-source tools and cloud computing platforms.
Influential. You are passionate about AI/ML and can bring along a
cross functional team in breakthrough innovations. You communicate
clearly and effectively to share your findings with non-technical
audiences. You are experienced in training language models or large
computer vision models as well as have expertise in one or more key
subdomains such as: training optimization, self-supervised
learning, explainability, RLHF. You have an engineering mindset as
shown by a track record of delivering models at scale both in
training data and inference volumes. You have experience in
delivering libraries, platforms, or solution level code to existing
products. 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) Specialized experience in the fields
of Information Retrieval, Recommender Systems, and Reinforcement
Learning Specialized experience in GenAI application development At
least 3 years of experience in PyTorch/Tensorflow At least 3 years
of experience with machine learning At least 1 year of experience
working with AWS 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. Sales Territory: $147,100 - $167,900 for Princ Associate,
Data Science McLean, VA: $161,800 - $184,600 for Princ Associate,
Data Science New York, NY: $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, Tuckahoe , Principal Associate, Data Scientist - NLP, IT / Software / Systems , Mc Lean, Virginia
