Capital One
Financial Services
Manager,DataScience-ConsumerIdentityMachineLearning
Neural analysis suggests this role is
optimal for Manager candidates.
“Manager, Data Science - Consumer Identity Machine Learning at Capital One. Skills: Machine Learning, Data Science, Customer Identity, Consumer Behavior. Build machine learning models. Partner with engineering teams to improve operationalization”
What You'll Achieve.
Deliver real-time, personalized, intelligent customer experiences; Model key customer outcomes; Anticipate customers’ needs; Deliver the right options at the right time; Ensure customer data is accurate; Fight fraud and other bad behavior; Enable seamless digital experiences
Industry & Context.
Data-driven decision-making
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field plus 6 years of experience, Master's Degree in quantitative field or MBA with quantitative concentration plus 4 years of experience, PhD in quantitative field plus 1 year of experience, 1 year of experience leveraging open source programming languages, 1 year of experience working with machine learning, 1 year of experience utilizing relational databases
Nice to Have
PhD in STEM field plus 3 years of experience, 1 year of experience working with AWS, 4 years’ experience in Python, Scala, or R, 4 years’ experience with machine learning, 4 years’ experience with SQL
What You'll Do.
Build machine learning models
Partner with engineering teams to improve operationalization
Partner closely with business and product teams
Conduct experiments to guide improvements
Write software to collect data
Analyze numerical data
How You'll Work.
Team & Collaboration
Partner closely with product and engineering teams; Partner closely with business and product teams
Full Job Description
Manager, Data Science - Consumer Identity Machine Learning 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 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** Consumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One’s suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs. As part of Consumer ML, you will: * Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes * Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time * Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products **Role Description** In Consumer Identity ML, you will work at all phases of the data science life cycle, includi
Applying for this Manager, Data Science - Consumer Identity Machine Learning role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Capital One?
Real rants from real employees. Read before you apply.