Sr. Manager, Data Science - Corporate Audit and Security Services
Company: Capital One
Location: Irvington
Posted on: January 18, 2023
Job Description:
Center 2 (19050), United States of America, McLean, VirginiaSr.
Manager, Data Science - Corporate Audit and Security ServicesData
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. -Team DescriptionInnovation is at the heart of
everything we do at the Audit Analytics and Innovation Team. We're
not a traditional Data Science team: we build creative ML solutions
across multiple domains from AML/Fraud, Card interest calculation
to Financial Service customer call transcripts intelligence. We
build fast and evolve fast and the amount of learning of ML in
business applications is multi-folds. - We are also highly
integrated and influential in building products and platforms,
working with Product Managers, Engineers and Designers on a daily
basis. If you love fast-paced, highly rewarding environments, and
you love being a builder and communicator, this is the place for
you.As a Sr. Data Science Manager in the Audit Analytics &
Innovation Team, you'll be part of a team that's leading the next
wave of disruption at a whole new scale, using the latest in
distributed computing technologies to build and deploy models and
analytical solutions leveraging new data sources to provide
powerful insights about our business. - -Role DescriptionIn this
role, you will:
- Partner with a cross-functional team of data scientists, data
analysts, risk professionals, software engineers, and product
managers to manage the risk and uncertainty inherent in statistical
models in order to lead Capital One to the best decisions, not just
avoid the worst ones
- Leverage a broad stack of technologies - Python, R, Conda,
Flask, Dash, AWS, Dask, Spark, and more - help uncover new trends
and improve analysis
- Lead and mentor a team of data scientists to deepen their
understanding and use of cutting edge data science and machine
learning methods
- Implementand productionize models (regression models, machine
learning models etc.) in Cloud based platforms to enable efficient
and accurate model inference
- Productionize highly scalable data pipelines for faster feature
changes and updates, and implementing data validation framework and
quality tests
- Develop visualization tools to streamline model monitoring
reports
- Investigate new technology to advance data management, model
development and deployment and drive change in enterprise ML
products---The Ideal Candidate is:
- 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 open-source languages and
are passionate about developing further. You have hands-on
experience developing data science solutions using open-source
tools and cloud computing platforms.
- A data guru. "Big data" doesn't phase you. You have the skills
to retrieve, combine, 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:
- Bachelor's Degree plus 7 years of experience in data analytics,
or Master's Degree plus 5 years of experience in data analytics, or
PhD plus 2 years of experience in data analytics
- 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 databasesPreferred
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 working with GraphML
- At least 2 year of experience managing people
- At least 2 year of experience working with Natural Language
Processing models (e.g., Transformer)
- At least 5 years' experience in Python, Scala, Dask, Spark or R
for large scale data analysis
- At least 5 years' experience with machine learningCapital One
will consider sponsoring a new qualified applicant for employment
authorization for this position.No Agencies please.Capital One is
an equal opportunity employer committed to diversity in the
workplace. Capital One promotes a drug-free workplace.All qualified
applicants will receive consideration for employment without regard
to gender, race, color, age, national origin, religion, disability,
genetic information, marital status, sexual orientation, gender
identity/assignment, citizenship, pregnancy or maternity, protected
veteran status, or any other status protected by applicable
national, federal, state or local law.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; Newark, New
Jersey Ordinance 12-1630; and other applicable federal, state, and
local laws and regulations regarding criminal background inquiries.
-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; Newark, New Jersey Ordinance 12-1630; and other
applicable federal, state, and local laws and regulations regarding
criminal background inquiries.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.Location is New York
City- $222,589 and $262,605 for Sr Mgr, Data ScienceCandidates
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.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,
race, color, age, national origin, religion, physical and mental
disability, genetic information, marital status, sexual
orientation, gender identity/assignment, citizenship, pregnancy or
maternity, protected veteran status, or any other status prohibited
by applicable national, 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 . 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 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, Irvington , Sr. Manager, Data Science - Corporate Audit and Security Services, Executive , Irvington, New Jersey
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