Manager, Data Science - ML Automation and Code Quality
Company: Capital One
Location: Reston
Posted on: April 18, 2024
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Job Description:
Center 2 (19050), United States of America, McLean,
VirginiaManager, Data Science - ML Automation and Code QualityData
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
Retail Bank Data Science team has a relentless focus on innovation
with a passion for improving customer experiences. For that, our
team writes lots of custom Python and Bash code to develop and
deploy advanced AI/ML techniques. We care very deeply about doing
things the right way, automating, standardizing, and removing
barriers to getting things done quickly. Whether it's big or small
data, our team's ability to turn that data into insights and
insights into great decisions, hinges upon the code that makes it
all work. The more time we can save through code that runs
flawlessly and without intervention, the more time we have to
deliver new insights. Role Description In this role, you will: Lead
our code quality initiative, defining the vision for the role and
carrying it out across the Retail Bank Leverage expertise on
platforms and software best practices to enable and improve data
scientists' code resiliency and performance Partner with data
scientists in the Bank and across the company to develop code and
repository quality standards (but not reinventing the wheel) and
train data scientists to adopt and adhere to these standards with
structured peer code reviews Develop or curate training for
software development best practices for data scientist mastery on
tools used on model build and execution platforms Devise roadmaps
to ever increasing code quality maturity in our organization
Communicate those standards and teach others how to achieve them
Hold teams accountable for meeting the standards Host office hours
or other avenues to assist data scientists in need of assistance on
model build and execution platforms and tools Engage with the data
science community to solicit feedback and lead virtual or in-person
training sessions Develop and maintain up to date playbooks for the
tools and development practices Evaluate existing ML pipelines and
analyze computational efficiency using the latest in distributed
storage and compute paradigms to optimize performance Present the
code quality initiative and progress to both leaders and peers
within the Bank and across the company The Ideal Candidate is:
Technical. You're experienced with open source languages and how
they're used in artificial intelligence and machine learning. You
understand what can and should be automated and standardized.
Modular code powering real-time predictive applications running in
the cloud is kinda your thing. A Teacher. You know your way around
a complex, collaborative code base, but you still remember what it
was like writing your first script. You can articulate the why, the
what, and the how of writing modular, unit-tested code so others
can get on your level. The only thing better than writing your own
masterful Python package is coaching someone else to leave their
beloved Notebook behind and learn to do the same. A Self-Starter.
You will own the mission to define the structure that leads our
team to eliminate errors and make work exceptionally transferable
through leveraging existing libraries/platforms as well as creating
new modules where needed. Overall, you help others achieve a high
level of coding maturity and be self-sufficient when putting work
into production on a cloud infrastructure. Detail Oriented.
Pre-commit hooks are as automatic as putting your seatbelt on when
you get behind the wheel. You appreciate elegance and efficiency in
code. You believe the little things add up and you can show the
value of paying attention to the finer points of coding. An
Influencer: You work well with leaders and fellow data scientists
to balance code quality needs with existing project timelines. You
are able to incorporate opinions from various stakeholders to come
up with a plan that serves the most good. Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's
Degree plus 6 years of experience in data analytics, or currently
has, or is in the process of obtaining a Master's Degree plus 4
years of experience in data analytics, or currently has, or is in
the process of obtaining PhD plus 1 year of experience in data
analytics, with an expectation that required degree will be
obtained on or before the scheduled start date At least 2 years'
experience in open source programming languages for large scale
data analysis At least 2 years' experience with machine learning At
least 2 years' experience with relational databases Preferred
Qualifications: PhD in "STEM" field (Science, Technology,
Engineering, or Mathematics) plus 3 years of experience in data
analytics At least 1 year of experience working with AWS At least 4
years' experience in Python, particularly Pandas, Dask, or Spark
for large scale data analysis At least 4 years' experience with
custom code-driven machine learning projects using packages such as
scikit-learn, H2O, xgboost, PyTorch, JAX, etc. (i.e., not
GUI-driven ML) At least 4 years' experience with SQL Capital One
will consider sponsoring a new qualified applicant for employment
authorization for this position. 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).
Keywords: Capital One, Burke , Manager, Data Science - ML Automation and Code Quality, Executive , Reston, Virginia
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