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Senior Associate, Data ScientistInformation Technology Senior Management Forum • New York, New York, United States
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Senior Associate, Data Scientist

Information Technology Senior Management Forum
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Senior Associate, Data Scientist 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 Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering Corporate Banking, CRE, and NBFI lending. Our team provides analytical tools and models to forecast bank volume, revenue and expense. On this team, you’ll get an opportunity to solve a diverse set of problems, with a diverse set of tools. This role would have exposure to both model implementation and model development. It’s a growing team, full of exciting opportunities to solve a range of complex problems.
Role Description In this role, you will:
Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
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.
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.
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.
Statistically‑minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze 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
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 2 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
Preferred Qualifications
Master’s Degree in STEM field (Science, Technology, Engineering, or Mathematics), or PhD in STEM field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 2 years’ experience in Python, Scala, or R
At least 2 years’ experience with machine learning
At least 2 years’ experience with SQL
Experience with AI‑assisted development is a plus.
Financial knowledge is a plus
Employment Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Employment Opportunity Capital One is an equal opportunity employer (EOE, including disability and veteran) 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.
Applicants This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Accommodation and Support 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.
Technical Support For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com.
Disclaimers 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).
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  • New York, New York, United States

Sprachkenntnisse

  • English
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