Hobbsnews
Manager, Data Scientist - Credit Line Increase Program
Hobbsnews, Mc Lean, Virginia, us, 22107
Manager, 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 personally tailoring every credit card offer using statistical modeling and relational databases. Fast forward a few years, and this innovation and our passion for data have grown us into a Fortune 200 company and a leader in data‑driven decision‑making.
As a Data Scientist at Capital One, you will be part of a team that leads the next wave of disruption on a new scale, using the latest computing and machine learning technologies to unlock opportunities that help people save money, time, and frustration.
Team Description The Upmarket CLIP seeks to provide an optimal credit line to high‑value customers through proactive, reactive and interactive strategies. The valuations team builds industry‑leading machine learning models to empower data‑driven business decisions. Data scientists and business analysts collaborate on the full model lifecycle: development, deployment, monitoring and governance.
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 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
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 share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative – you continually research and evaluate emerging technologies and seek opportunities to apply them.
A leader – you challenge conventional thinking and collaborate with stakeholders to improve the status quo. You’re passionate about talent development for your team and beyond.
Technical – comfortable with open‑source languages and passionate about developing further.
Statistically minded – you’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve 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 multiple sources and structures.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following qualifications, with the expectation that the degree will be obtained on or before the scheduled start date: Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6 years of experience performing data analytics
Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred Qualifications
PhD in a STEM field plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years of experience in Python, Scala, or R for large‑scale data analysis
At least 4 years of experience with machine learning
At least 4 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 by location. Salaries for part‑time roles will be prorated based on hours worked.
McLean, VA: $193,400 – $220,700 for Mgr, Data Science
This role is eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).
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.
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 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 applicable laws regarding criminal 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 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.com.
Capital One does not provide, endorse or 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. Positions posted in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC).
#J-18808-Ljbffr
As a Data Scientist at Capital One, you will be part of a team that leads the next wave of disruption on a new scale, using the latest computing and machine learning technologies to unlock opportunities that help people save money, time, and frustration.
Team Description The Upmarket CLIP seeks to provide an optimal credit line to high‑value customers through proactive, reactive and interactive strategies. The valuations team builds industry‑leading machine learning models to empower data‑driven business decisions. Data scientists and business analysts collaborate on the full model lifecycle: development, deployment, monitoring and governance.
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 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
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 share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative – you continually research and evaluate emerging technologies and seek opportunities to apply them.
A leader – you challenge conventional thinking and collaborate with stakeholders to improve the status quo. You’re passionate about talent development for your team and beyond.
Technical – comfortable with open‑source languages and passionate about developing further.
Statistically minded – you’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve 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 multiple sources and structures.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following qualifications, with the expectation that the degree will be obtained on or before the scheduled start date: Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6 years of experience performing data analytics
Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred Qualifications
PhD in a STEM field plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years of experience in Python, Scala, or R for large‑scale data analysis
At least 4 years of experience with machine learning
At least 4 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 by location. Salaries for part‑time roles will be prorated based on hours worked.
McLean, VA: $193,400 – $220,700 for Mgr, Data Science
This role is eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).
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.
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 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 applicable laws regarding criminal 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 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.com.
Capital One does not provide, endorse or 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. Positions posted in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC).
#J-18808-Ljbffr