National Science Teachers Association
Overview
Data is at the center of everything we do. As a startup, Capital One disrupted the credit card industry by personalizing every credit card offer using statistical modeling and the relational database. Our data-driven decisions have helped us grow 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 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 opportunities that help everyday people save money, time and effort in their financial lives. Team Description
The Retail Bank Customer Protection Data Science team focuses on innovation to improve customer experiences around fraud prevention. Detecting and preventing fraud early helps keep customer funds secure and enables the Bank to grow with confidence. We design features using SQL, Python, and Spark, and train models with Python-based libraries. Data scientists often lead model deployment in batch and event-based environments and may partner with engineering teams for real-time system deployments. The team aims to give millions of customers comfort that their accounts are protected from takeover attempts. Role Description
In this role, you will: Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Kubernetes, and more — to build sequence models to detect fraud risk using deep learning techniques like transformers, LSTMs, and embeddings of tabular data Connect deep technical modeling expertise to the pressing business goals of our fraud prevention strategy partners to create solutions to challenging problems Provide the engine to a research agenda with business opportunities at its heart Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry-leading fraud defenses Pilot machine learning models through all phases of development, from design through training, evaluation, validation, and implementation The Ideal Candidate
Creative.
You thrive on defining big, undefined problems, asking questions, and sharing new ideas. Technical.
You’re comfortable with open-source languages and are passionate about developing further with hands-on experience in data science solutions using open-source tools and cloud platforms. A data guru.
You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often key to great data science. A leader.
You challenge conventional thinking and work with stakeholders to improve the status quo; you’re passionate about talent development for your team and beyond. Basic Qualifications
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or a Master’s Degree plus 4 years of experience in data analytics, or a PhD plus 1 year of experience in data analytics, with the expectation that the 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 plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years’ experience in Python for large-scale data analysis At least 4 years’ experience with machine learning and specifically deep learning sequence modeling architectures At least 4 years’ 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 for part-time roles will be prorated based on hours worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science; Richmond, VA: $175,800 - $200,700 for Mgr, Data Science. Other locations follow their respective pay ranges. This role may be eligible for performance-based incentive compensation and long-term incentives. Capital One offers a comprehensive benefits package. Eligibility varies by status. Capital One is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, or other protected status. Capital One maintains a drug-free workplace and supports criminal background inquiries as required by law. If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One’s recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse, or guarantee third-party products or services advertised on this site. Capital One Financial comprises several entities and position postings may vary by country.
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Data is at the center of everything we do. As a startup, Capital One disrupted the credit card industry by personalizing every credit card offer using statistical modeling and the relational database. Our data-driven decisions have helped us grow 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 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 opportunities that help everyday people save money, time and effort in their financial lives. Team Description
The Retail Bank Customer Protection Data Science team focuses on innovation to improve customer experiences around fraud prevention. Detecting and preventing fraud early helps keep customer funds secure and enables the Bank to grow with confidence. We design features using SQL, Python, and Spark, and train models with Python-based libraries. Data scientists often lead model deployment in batch and event-based environments and may partner with engineering teams for real-time system deployments. The team aims to give millions of customers comfort that their accounts are protected from takeover attempts. Role Description
In this role, you will: Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Kubernetes, and more — to build sequence models to detect fraud risk using deep learning techniques like transformers, LSTMs, and embeddings of tabular data Connect deep technical modeling expertise to the pressing business goals of our fraud prevention strategy partners to create solutions to challenging problems Provide the engine to a research agenda with business opportunities at its heart Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry-leading fraud defenses Pilot machine learning models through all phases of development, from design through training, evaluation, validation, and implementation The Ideal Candidate
Creative.
You thrive on defining big, undefined problems, asking questions, and sharing new ideas. Technical.
You’re comfortable with open-source languages and are passionate about developing further with hands-on experience in data science solutions using open-source tools and cloud platforms. A data guru.
You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often key to great data science. A leader.
You challenge conventional thinking and work with stakeholders to improve the status quo; you’re passionate about talent development for your team and beyond. Basic Qualifications
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or a Master’s Degree plus 4 years of experience in data analytics, or a PhD plus 1 year of experience in data analytics, with the expectation that the 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 plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years’ experience in Python for large-scale data analysis At least 4 years’ experience with machine learning and specifically deep learning sequence modeling architectures At least 4 years’ 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 for part-time roles will be prorated based on hours worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science; Richmond, VA: $175,800 - $200,700 for Mgr, Data Science. Other locations follow their respective pay ranges. This role may be eligible for performance-based incentive compensation and long-term incentives. Capital One offers a comprehensive benefits package. Eligibility varies by status. Capital One is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, or other protected status. Capital One maintains a drug-free workplace and supports criminal background inquiries as required by law. If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One’s recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse, or guarantee third-party products or services advertised on this site. Capital One Financial comprises several entities and position postings may vary by country.
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