Capital One National Association
Principal Associate, Data Scientist - US Card (Application Fraud Team)
Capital One National Association, Mc Lean, Virginia, us, 22107
Overview
Principal Associate, Data Scientist - US Card (Application Fraud Team) 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, Capital One has grown to a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading disruption at a whole new scale, using the latest computing and machine learning technologies to operate across billions of customer records and unlock opportunities that help everyday people save money, time, and reduce financial friction. Team Description
The Application Fraud data science team builds machine learning models that protect our customers and Capital One against fraudsters. We prevent fraud at the application stage using real-time models and emphasize doing things the right way, automation, and innovation to improve the customer experience. 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 insights within large volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, and making the right decision for our customers Innovative. You continually research emerging technologies and stay current on state-of-the-art methods, technologies, and applications Creative. You thrive on solving big, undefined problems and sharing new ideas A leader. You challenge conventional thinking and mentor others Technical. Comfortable with open-source languages and developing data science solutions using open-source tools and cloud platforms Statistically-minded. You’ve built models, validated them, and backtested them; experience with clustering, classification, sentiment analysis, time series, and deep learning is a plus A data guru. You can retrieve, combine, and analyze data from diverse sources and structures Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with an expectation that the degree will be obtained by the start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience A Master's Degree in a quantitative field (or MBA with a quantitative concentration) plus 3 years of data analytics experience A PhD in a quantitative field Preferred Qualifications
Master’s Degree in STEM plus 3 years of data analytics experience, or PhD in STEM At least 1 year of experience with AWS At least 3 years of experience in Python, Scala, or R At least 3 years of experience with machine learning At least 3 years of experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are for candidates hired to work within one of these locations and may vary by location. Salaries for part-time roles will be prorated based on hours worked. Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science New York, NY: $173,000 - $197,400 for Principal Associate, Data Science Richmond, VA: $144,200 - $164,600 for Principal Associate, Data Science Candidates hired to work in other locations will be subject to the pay range for that location, and the actual annualized salary will be reflected in the offer letter. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives may be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on status. This role is expected to accept applications for a minimum of 5 business days. No agencies, please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. If you need accommodations during the application process, contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed accommodations. For technical support or questions about Capital One's recruiting process, email Careers@capitalone.com.
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Principal Associate, Data Scientist - US Card (Application Fraud Team) 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, Capital One has grown to a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading disruption at a whole new scale, using the latest computing and machine learning technologies to operate across billions of customer records and unlock opportunities that help everyday people save money, time, and reduce financial friction. Team Description
The Application Fraud data science team builds machine learning models that protect our customers and Capital One against fraudsters. We prevent fraud at the application stage using real-time models and emphasize doing things the right way, automation, and innovation to improve the customer experience. 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 insights within large volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, and making the right decision for our customers Innovative. You continually research emerging technologies and stay current on state-of-the-art methods, technologies, and applications Creative. You thrive on solving big, undefined problems and sharing new ideas A leader. You challenge conventional thinking and mentor others Technical. Comfortable with open-source languages and developing data science solutions using open-source tools and cloud platforms Statistically-minded. You’ve built models, validated them, and backtested them; experience with clustering, classification, sentiment analysis, time series, and deep learning is a plus A data guru. You can retrieve, combine, and analyze data from diverse sources and structures Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with an expectation that the degree will be obtained by the start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience A Master's Degree in a quantitative field (or MBA with a quantitative concentration) plus 3 years of data analytics experience A PhD in a quantitative field Preferred Qualifications
Master’s Degree in STEM plus 3 years of data analytics experience, or PhD in STEM At least 1 year of experience with AWS At least 3 years of experience in Python, Scala, or R At least 3 years of experience with machine learning At least 3 years of experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are for candidates hired to work within one of these locations and may vary by location. Salaries for part-time roles will be prorated based on hours worked. Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science New York, NY: $173,000 - $197,400 for Principal Associate, Data Science Richmond, VA: $144,200 - $164,600 for Principal Associate, Data Science Candidates hired to work in other locations will be subject to the pay range for that location, and the actual annualized salary will be reflected in the offer letter. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives may be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on status. This role is expected to accept applications for a minimum of 5 business days. No agencies, please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. If you need accommodations during the application process, contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed accommodations. For technical support or questions about Capital One's recruiting process, email Careers@capitalone.com.
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