Manager, Data Scientist
Capital One
Manager, Data Scientist
Job Description
Overview
Manager, Data Science, Model Risk OfficeData 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-In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition.Role Description-In this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models to challenge “champion models” that are deployed in production today
Contribute to the model governance framework for the next generation of machine learning models
Flex your interpersonal skills to present how model risks could impact the business to executives
Validate a wide variety of models across multiple business domains within our Enterprise Services devision
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, and you’re not afraid to learn about different aspects of Capital One’s businesses.
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.
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning
At least 4 years’ experience with SQL
At least 4 years’ experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.
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 to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital 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).
Locations
- McLean, Virginia, United States
- Richmond, Virginia McLean, VirginiaMcLean
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Data Scienceintermediate
- Pythonintermediate
- SQLintermediate
- AWSintermediate
- Sparkintermediate
- Model Validationintermediate
- Statistical Analysisintermediate
- Risk Quantificationintermediate
Required Qualifications
- Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years, or PhD plus 1 year (experience)
- At least 2 years’ experience with machine learning (experience)
- At least 2 years’ experience with relational databases (experience)
- Preferred: PhD in STEM field plus 3 years of experience in data analytics (experience)
- Preferred: At least 1 year of experience working with AWS (experience)
- Preferred: At least 4 years’ experience in Python, Scala, or R (experience)
- Preferred: At least 4 years’ experience with SQL (experience)
Responsibilities
- Partner with cross-functional team to identify and quantify risks associated with models
- Leverage technologies like Python, Conda, AWS, Spark to reveal insights from large data volumes
- Build machine learning models to challenge deployed champion models
- Contribute to model governance framework for machine learning models
- Present model risks impact to executives
- Validate models across multiple business domains
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Manager, Data Scientist @ Capital One.
Related Books and Jobs
Manager, Data Scientist
Capital One
Manager, Data Scientist
Job Description
Overview
Manager, Data Science, Model Risk OfficeData 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-In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition.Role Description-In this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models to challenge “champion models” that are deployed in production today
Contribute to the model governance framework for the next generation of machine learning models
Flex your interpersonal skills to present how model risks could impact the business to executives
Validate a wide variety of models across multiple business domains within our Enterprise Services devision
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, and you’re not afraid to learn about different aspects of Capital One’s businesses.
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.
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning
At least 4 years’ experience with SQL
At least 4 years’ experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.
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 to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital 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).
Locations
- McLean, Virginia, United States
- Richmond, Virginia McLean, VirginiaMcLean
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Data Scienceintermediate
- Pythonintermediate
- SQLintermediate
- AWSintermediate
- Sparkintermediate
- Model Validationintermediate
- Statistical Analysisintermediate
- Risk Quantificationintermediate
Required Qualifications
- Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years, or PhD plus 1 year (experience)
- At least 2 years’ experience with machine learning (experience)
- At least 2 years’ experience with relational databases (experience)
- Preferred: PhD in STEM field plus 3 years of experience in data analytics (experience)
- Preferred: At least 1 year of experience working with AWS (experience)
- Preferred: At least 4 years’ experience in Python, Scala, or R (experience)
- Preferred: At least 4 years’ experience with SQL (experience)
Responsibilities
- Partner with cross-functional team to identify and quantify risks associated with models
- Leverage technologies like Python, Conda, AWS, Spark to reveal insights from large data volumes
- Build machine learning models to challenge deployed champion models
- Contribute to model governance framework for machine learning models
- Present model risks impact to executives
- Validate models across multiple business domains
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Manager, Data Scientist @ Capital One.
Related Books and Jobs