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Senior Associate, Data Scientist - Credit Line Increase ProgramInformation Technology Senior Management Forum • Virginia, Minnesota, United States
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Senior Associate, Data Scientist - Credit Line Increase Program

Information Technology Senior Management Forum
  • US
    Virginia, Minnesota, United States
  • US
    Virginia, Minnesota, United States
Jetzt Bewerben

Über

Senior Associate, Data Scientist - Credit Line Increase Program 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 have 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 stress in their financial lives.
Team Description The Upmarket CLIP seeks to provide an optimal credit line to our high‑value customers, ensuring they receive a line they need and love through different strategies such as proactive, reactive and interactive. The Upmarket CLIP valuations team builds industry‑leading machine learning models to empower model‑ and data‑driven business decisions. In this team, data scientists and business analysts work together on the full model lifecycle—including development, deployment, monitoring and governance—partnering closely with both business teams and data‑engineering partners. This is a unique opportunity to gain exposure to both end‑to‑end model lifecycle and business decisioning process.
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, staying current on state‑of‑the‑art methods and seeking opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems, love asking questions, and push hard to find answers, never fearing to share a new idea.
Technical. You’re comfortable with open‑source languages and passionate about further development, with hands‑on experience building data science solutions using open‑source tools and cloud platforms.
Statistically‑minded. You’ve built, validated, and backtested models, interpreting confusion matrices or ROC curves, and have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You can retrieve, combine, and analyze data from a variety of sources and structures, understanding that 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 or an MBA with a quantitative concentration in a quantitative field.
Preferred Qualifications
Master’s or PhD in a 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.
Capital One will consider sponsoring a qualified applicant for employment authorization for this position.
Compensation and Benefits McLean, VA: $135,600 – $154,800 for Senior Associate, 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 will be reflected in the offer letter.
This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentive (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.
Capital One is an equal opportunity employer (EOE, including disability/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 qualified applicants with a criminal history in a manner consistent with the applicable laws governing background inquiries.
If 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 used only to the extent required to provide reasonable accommodations.
For technical support or questions about the recruiting process, please send an email to Careers@capitalone.com.
Capital One is not liable for third‑party products, services, educational tools, or other information available through this site.
Capital One Financial is comprised of several different entities. Positions posted in Canada are for Capital One Canada, in the United Kingdom are for Capital One Europe, and in the Philippines are for Capital One Philippines Service Corp. (COPSSC).
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  • Virginia, Minnesota, United States

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  • English
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