Principal, Data Scientist - Card IntelligenceCapital One • Virginia, Minnesota, United States
Principal, Data Scientist - Card Intelligence
Capital One
- Virginia, Minnesota, United States
- Virginia, Minnesota, United States
À propos
The US Card Data Science organization at Capital One leverages a massive wealth of customer data to drive business strategy and deliver world‑class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver products 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. Ideal Candidate
Customer first: passionate about making the right decision for our customers. Innovative: continually research and evaluate emerging technologies, staying current on state‑of‑the‑art methods and seeking opportunities to apply them. Creative: thrive on defining big, undefined problems and persistently seek answers. A leader: challenge conventional thinking and work with stakeholders to improve the status quo, while championing talent development. Technical: comfortable with open‑source languages, experienced in developing data science solutions with cloud platforms. Statistically‑minded: built and validated models, interpreted confusion matrices or ROC curves, and applied clustering, classification, sentiment analysis, time series, and deep learning. A data guru: adept at retrieving, combining, and analyzing data from diverse sources and structures. Qualifications
Basic Qualifications Currently has, or is in the process of obtaining, one of the following with an expectation that the required degree will be obtained 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 5 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 plus 3 years of experience performing data analytics. A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field).
Preferred Qualifications Master’s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field. At least 1 year of experience working with AWS. At least 3 years’ experience in Python, Scala, or R. At least 3 years’ experience with machine learning. At least 3 years’ experience with SQL. Benefits
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Salary ranges:
McLean, VA: $161,800 - $184,600 New York, NY: $176,500 - $201,400
Eligible to earn performance‑based incentive compensation, including cash bonus(es) and/or long‑term incentives (LTI). Comprehensive health, financial, and other benefits supporting overall well‑being. Equal Employment Opportunity Statement
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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