Manager, Data Science - GenAI Digital Assistant
Company: Capital One
Location: San Jose
Posted on: April 1, 2026
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Job Description:
Manager, Data Science - GenAI Digital Assistant 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: The
GenAI Powered Digital Assistant Team in AI Foundations engage in
active research in GenAI powered conversational capabilities and
build scalable futuristics solutions to enhance our customers
digital experience and real time support through digital
assistance. You will be the driving force to lead research,
innovate and develop applications with emerging AI/ML technologies.
Our areas of research include advanced LLM powered digital
Assistant, multi-agentic workflow, domain specific conversational
large language model tuning and inference optimization. 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
developers write software. Lead cutting-edge research and
development in Generative AI (GenAI) to enhance conversational AI
capabilities and build scalable, futuristic digital assistant
solutions. Fine-tune advanced Large Language Models (LLMs) for
domain-specific conversational applications, inference
optimization, and multi-agentic workflows. Leverage a broad stack
of technologies — Python, AWS, Pyspark, LangChain, LangGraph,
HuggingFace Transformers, vLLM and VectorDBs, and more Be the
expert in Natural Language Processing (NLP) to harness the power of
Large Language Models (LLMs), adapt and finetune them for business
specific applications and features. Drive innovation by designing,
training, evaluating, and deploying state-of-the-art NLP models,
partnering with engineering teams to integrate them into scalable
and resilient production systems. Translate complex AI/ML research
into tangible business outcomes, improving customer experience
through real-time, intelligent digital assistance. The Ideal
Candidate is: Innovative. You are deeply engaged in AI/ML research
and stay ahead of the curve on emerging GenAI advancements. You
seek out opportunities to apply state-of-the-art methods to
real-world problems Creative. You excel at defining and solving
complex, ambiguous problems, constantly questioning and pushing
boundaries to develop novel solutions A leader. You challenge
conventional thinking, drive breakthroughs in conversational AI,
and mentor teams to achieve innovation excellence Technical. You
have hands-on experience in AI/ML development, working with
open-source tools, cloud computing platforms, and DevOps
technologies. You are proficient in NLP and LLM tuning.
Influential. You are passionate about GenAI and can bring together
cross-functional teams to drive adoption and innovation. You
communicate complex ideas clearly to technical and non-technical
audiences. 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 6 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 4 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) plus 1 year of experience performing data analytics At least
1 year of experience leveraging open source programming languages
for large scale data analysis At least 1 year of experience working
with machine learning At least 1 year of experience utilizing
relational databases Preferred Qualifications: PhD in Computer
Engineering plus 3 years of relevant experience, prior
publication/research experience referred At least 3 years of
specialized experience in GenAI application development. At least 3
years of experience in LLM model training, evaluation, inference
optimization and parallelization in GPU cluster At least 3 years of
experience working with AWS or equivalent GPU Clusters At least 3
years of experience in PyTorch/Tensorflow 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: $197,300 -
$225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600
for Mgr, Data Science San Jose, CA: $215,200 - $245,600 for 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 (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, Palo Alto , Manager, Data Science - GenAI Digital Assistant, IT / Software / Systems , San Jose, California
