Manager, Data Science - ML Automation and Code Quality
Company: Capital One
Location: Bethesda
Posted on: April 19, 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, Aspen Hill , Manager, Data Science - ML Automation and Code Quality, Executive , Bethesda, Maryland
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