Senior Manager, Data Science - The AI Training Team
Company: Capital One Financial Corporation
Location: San Francisco
Posted on: April 30, 2024
Job Description:
Senior Manager, Data Science - The AI Training Team page is
loaded Senior Manager, Data Science - The AI Training Team Apply
locations McLean, VA Cambridge, MA San Francisco, CA New York, NY
time type Full time posted on Posted Yesterday job requisition id
R184373 Center 3 (19075), United States of America, McLean,
VirginiaSenior Manager, Data Science - The AI Training TeamSenior
Manager, Data Science - The AI Training Team 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 Our
organization is at the center of bringing our vision for AI at
Capital One to life. The work of the AI Training Team touches every
aspect of the machine learning life cycle, from working with data,
building and benchmarking models, to deploying and maintaining
production applications. We work with product, technology, and
business leaders to apply the state of the art in AI to our
business. Role DescriptionIn this role, you will:
- Partner with a cross-functional team of data scientists,
software engineers, and product managers to deliver AI-powered
products customers love
- Leverage a broad stack of technologies - Python, PyTorch, AWS,
Hugging Face, LangChain, GitHub, and more - to reveal the insights
hidden within huge volumes of numeric and textual data
- Lead as an individual contributor and 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 goals The Ideal Candidate is:
- 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 experience
building large deep learning models - whether on language, images,
events, or graphs.
- Statistically-minded. You've built models, benchmarked them,
and deployed them. You know how to think probabilistically, design
experiments, and to interpret automated metrics like Rouge or
Bleu.
- A data guru. "Big data" doesn't faze you and you love
data-centric methods. You have the skills to retrieve, combine,
clean, filter, annotate, and analyze data from a variety of sources
and structures. You know understanding the data is often the key to
great data science. Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's
Degree plus 7 years of experience in data analytics, or currently
has, or is in the process of obtaining a Master's Degree plus 5
years of experience in data analytics, or currently has, or is in
the process of obtaining PhD plus 2 years of experience in data
analytics, with an expectation that required degree will be
obtained on or before the scheduled start date
- At least 3 years' experience in open source programming
languages for large scale data analysis
- At least 3 years' experience with machine learning
- At least 3 years' experience with relational databases
Preferred Qualifications:
- PhD in "STEM" field (Science, Technology, Engineering, or
Mathematics) plus 4 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 1 year of experience managing people
- At least 5 years' experience in Python, Scala, or R for large
scale data analysis
- At least 5 years' experience with machine learning 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. New York City (Hybrid
On-Site): $234,700 - $267,900 for Sr Mgr, Data ScienceSan
Francisco, California (Hybrid On-Site): $248,700 - $283,800 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
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). Similar Jobs (2) Senior Manager, Data
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time type Full time posted on Posted 28 Days Ago At Capital One,
we're building a leading information-based technology company.
Still founder-led by Chairman and Chief Executive Officer Richard
Fairbank, Capital One is on a mission to help our customers succeed
by bringing ingenuity, simplicity, and humanity to banking. We
measure our efforts by the success our customers enjoy and the
advocacy they exhibit. We are succeeding because they are
succeeding.
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Keywords: Capital One Financial Corporation, Fremont , Senior Manager, Data Science - The AI Training Team, Executive , San Francisco, California
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