Capital One
Principal Associate, Data Scientist - US Card Upmarket Acquisition
Capital One, Chicago, Illinois, United States, 60290
Overview Principal Associate, Data Scientist - US Card Upmarket Acquisition
The following information aims to provide potential candidates with a better understanding of the requirements for this role. 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 innovation and our passion for data has helped Capital One become 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 is leading disruption at a whole new scale, using the latest 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 US Card Data Science team builds industry-leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate with data engineers, platforms engineers, product managers, credit and business analysts, to deliver solutions from ideation to implementation. We own the full life cycle of our models — development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are a team of creative problem solvers who challenge the status quo and continuously innovate to keep our models more dynamic, robust, and smarter. 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 huge volumes of numeric and textual data Build machine learning models from idea to implementation, including designing experiments, iterating on models, and deploying production-ready solutions that impact business outcomes Translate complex work into tangible business goals through strong interpersonal communication Ideal Candidate
Statistically minded — built, validated, and backtested models; experience with clustering, classification, sentiment analysis, time series, and deep learning Technical — proficient with open-source languages, experienced in developing and deploying production-ready data science solutions using open-source tools and cloud platforms Customer first — focused on making the right decision for customers A data guru — able to retrieve, combine, and analyze data from various sources and structures; understands that data quality drives data science outcomes Basic Qualifications
Currently has, or is in the process of obtaining, a Bachelor's Degree plus 5 years of data analytics experience, or a Master's Degree plus 3 years, or a PhD plus 1 year, with the expectation that the degree will be obtained by start date At least 1 year of experience with open-source programming languages for large-scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications
Master's or PhD in a STEM field with relevant analytics experience At least 1 year of experience working with AWS At least 3 years of experience with Python, Scala, or R for large-scale data analysis 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 for part-time roles will be prorated.
Locations and pay ranges:
Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science; McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science. Other locations follow local pay ranges; actual offer depends on location. This role may be eligible to participate in incentive compensation programs. Capital One offers a comprehensive, inclusive set of health, financial and other benefits. Eligibility varies by 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) and maintains a drug-free workplace. We will consider qualified applicants with criminal histories in a manner consistent with applicable laws and regulations. If you require accommodations 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.
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The following information aims to provide potential candidates with a better understanding of the requirements for this role. 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 innovation and our passion for data has helped Capital One become 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 is leading disruption at a whole new scale, using the latest 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 US Card Data Science team builds industry-leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate with data engineers, platforms engineers, product managers, credit and business analysts, to deliver solutions from ideation to implementation. We own the full life cycle of our models — development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are a team of creative problem solvers who challenge the status quo and continuously innovate to keep our models more dynamic, robust, and smarter. 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 huge volumes of numeric and textual data Build machine learning models from idea to implementation, including designing experiments, iterating on models, and deploying production-ready solutions that impact business outcomes Translate complex work into tangible business goals through strong interpersonal communication Ideal Candidate
Statistically minded — built, validated, and backtested models; experience with clustering, classification, sentiment analysis, time series, and deep learning Technical — proficient with open-source languages, experienced in developing and deploying production-ready data science solutions using open-source tools and cloud platforms Customer first — focused on making the right decision for customers A data guru — able to retrieve, combine, and analyze data from various sources and structures; understands that data quality drives data science outcomes Basic Qualifications
Currently has, or is in the process of obtaining, a Bachelor's Degree plus 5 years of data analytics experience, or a Master's Degree plus 3 years, or a PhD plus 1 year, with the expectation that the degree will be obtained by start date At least 1 year of experience with open-source programming languages for large-scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications
Master's or PhD in a STEM field with relevant analytics experience At least 1 year of experience working with AWS At least 3 years of experience with Python, Scala, or R for large-scale data analysis 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 for part-time roles will be prorated.
Locations and pay ranges:
Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science; McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science. Other locations follow local pay ranges; actual offer depends on location. This role may be eligible to participate in incentive compensation programs. Capital One offers a comprehensive, inclusive set of health, financial and other benefits. Eligibility varies by 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) and maintains a drug-free workplace. We will consider qualified applicants with criminal histories in a manner consistent with applicable laws and regulations. If you require accommodations 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.
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