Senior Data Scientist, 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 relational databases, cutting‑edge technology in 1988. Fast‑forward a few years, 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 that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies across billions of customer records to unlock opportunities that help everyday people save money, time and improve 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 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.
Responsibilities
- Explore billions of clickstream events to discover patterns in customer behavior, and use those patterns to model key customer outcomes
- Develop real‑time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time
- Develop 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, including :
Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customersPartner closely with a variety of business and product teams across Capital One to conduct experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud preventionWrite software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like SparkThe Ideal Candidate is
Innovative. Consistently researching and evaluating emerging technologies, staying current on state‑of‑the‑art methods, technologies and applications, and seeking opportunities to apply themCreative. Thriving on bringing definition to big, undefined problems, asking questions, pushing hard to find answers, and sharing new ideas without hesitationTechnical. Comfortable with open‑source languages and passionate about further development. Hands‑on experience developing data science solutions using open‑source tools and cloud computing platformsStatistically‑minded. Built models, validated them and back‑tested them. Knows how to interpret a confusion matrix or a ROC curve. Experienced with clustering, classification, sentiment analysis, time series and deep learningA data guru. “Big data” doesn’t faze you. Skilled at retrieving, combining and analyzing data from a variety of sources and structures, understanding that the data is often the key to great data scienceBasic Qualifications
Currently holding, or 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 :
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 analyticsMaster’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 concentrationPreferred Qualifications
Master’s Degree in STEM (Science, Technology, Engineering, Mathematics) plus 3 years of experience in data analytics, or PhD in STEMAt least 1 year of experience working with AWSAt least 2 years of experience in Python, PyTorch, Scala, or RAt least 2 years of experience with machine learningAt least 2 years of experience with SQLAt least 2 years of experience working with natural language processingAdditional Information
Capital One will consider sponsoring a qualified applicant for employment authorization for this position.
The minimum and maximum full‑time annual salaries for this role are listed below, by location :
McLean, VA : $133,000 – $151,800New York, NY : $145,100 – $165,600San Jose, CA : $145,100 – $165,600This role is also eligible to earn performance‑based incentive compensation, which may include cash bonuses and / or long‑term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well‑being. Eligibility varies based on full / part‑time status, exempt / non‑exempt status, and management level.
Capital One is an equal opportunity employer (EOE, including disability / vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
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