Information Technology Senior Management Forum
Senior Associate, Data Scientist - Credit Line Increase Program
Information Technology Senior Management Forum, Mc Lean, Virginia, us, 22107
Senior Associate, 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 individually personalizing every credit card offer using statistical modeling and the relational database. 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 data‑driven decision‑making. As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of 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 and time.
Team Description The Upmarket CLIP team builds industry‑leading machine learning models to provide optimal credit lines to our high‑value customers. We support proactive, reactive, and interactive strategies and work collaboratively across the data science, business analysis, engineering, and product teams to manage the full model lifecycle—from development and deployment to 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—including Python, Conda, AWS, H2O, Spark, and more—to uncover insights hidden within huge volumes of numeric and textual data.
Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
Translate the complexity of your work into tangible business goals, communicating effectively with stakeholders.
The Ideal Candidate Is
Innovative: continuously research and evaluate emerging technologies and seek opportunities to apply them.
Creative: thrive on bringing definition to large, undefined problems and pushing hard to find answers.
Technical: comfortable with open‑source languages, passionate about developing further, and experienced with cloud‑based data science solutions.
Statistically‑mindful: built and validated models, interpreted confusion matrices or ROC curves, and experienced with clustering, classification, sentiment analysis, time series, and deep learning.
Data guru: adept at retrieving, combining, and analyzing data from a variety of sources and structures.
Basic Qualifications
Currently holds or is in the process of obtaining one of the following, with the expected degree completed on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration.
Preferred Qualifications
Master’s or PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
Experience working with AWS.
At least 2 years’ experience in Python, Scala, or R.
At least 2 years’ experience with machine learning.
At least 2 years’ experience with SQL.
Salary
McLean, VA: $133,000 – $151,800 for Senior Associate, Data Science.
Other locations: pay range as per site, with annualized salary offered at time of hire.
This role is eligible for performance‑based incentive compensation (cash bonus, LTI).
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Learn more on the Capital One Careers website.
Application This role is open to applications for a minimum of 5 business days. No agencies please.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability and veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.
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Team Description The Upmarket CLIP team builds industry‑leading machine learning models to provide optimal credit lines to our high‑value customers. We support proactive, reactive, and interactive strategies and work collaboratively across the data science, business analysis, engineering, and product teams to manage the full model lifecycle—from development and deployment to 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—including Python, Conda, AWS, H2O, Spark, and more—to uncover insights hidden within huge volumes of numeric and textual data.
Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
Translate the complexity of your work into tangible business goals, communicating effectively with stakeholders.
The Ideal Candidate Is
Innovative: continuously research and evaluate emerging technologies and seek opportunities to apply them.
Creative: thrive on bringing definition to large, undefined problems and pushing hard to find answers.
Technical: comfortable with open‑source languages, passionate about developing further, and experienced with cloud‑based data science solutions.
Statistically‑mindful: built and validated models, interpreted confusion matrices or ROC curves, and experienced with clustering, classification, sentiment analysis, time series, and deep learning.
Data guru: adept at retrieving, combining, and analyzing data from a variety of sources and structures.
Basic Qualifications
Currently holds or is in the process of obtaining one of the following, with the expected degree completed on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration.
Preferred Qualifications
Master’s or PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
Experience working with AWS.
At least 2 years’ experience in Python, Scala, or R.
At least 2 years’ experience with machine learning.
At least 2 years’ experience with SQL.
Salary
McLean, VA: $133,000 – $151,800 for Senior Associate, Data Science.
Other locations: pay range as per site, with annualized salary offered at time of hire.
This role is eligible for performance‑based incentive compensation (cash bonus, LTI).
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Learn more on the Capital One Careers website.
Application This role is open to applications for a minimum of 5 business days. No agencies please.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability and veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.
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