Senior Manager, Data Scientist - US Card (Generative AI Systems)

Senior Manager, Data Scientist – US Card (Generative AI Systems) 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 from 1988. Fast‑forward a few years and this passion for data has propelled us to a Fortune 200 company and a leader in data‑driven decision‑making. Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state‑of‑the‑art, generative AI–based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time‑series sequencing modeling. We partner with product, tech, and design teams to deliver internal applications that drive efficiency in business and data analytics teams, and customer‑facing applications that enhance the customer experience. 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, Kubernetes, 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 with strong interpersonal skills. The Ideal Candidate Is: Customer‑first . You love analyzing and creating, share our passion to do the right thing, and always aim to make the right decision for customers. Creative . You thrive on defining big, undefined problems, ask questions, push hard to find answers, and are not afraid to share new ideas. A leader . You challenge conventional thinking, collaborate with stakeholders to improve the status quo, and are passionate about talent development for your team and beyond. Technical . You’re comfortable with open‑source languages, have hands‑on experience developing data science solutions with open‑source tools and cloud platforms. Basic Qualifications Currently holding or in the process of obtaining one of the following, with the degree completed on or before the scheduled start date: Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 7 years of data analytics experience. Master’s degree in a quantitative field or MBA with quantitative concentration plus 5 years of data analytics experience. PhD in a quantitative field plus 2 years of data analytics experience. At least 2 years of experience leveraging open‑source programming languages for large‑scale data analysis. At least 2 years of experience working with machine learning. At least 2 years of experience utilizing relational databases. Preferred Qualifications PhD in STEM (Science, Technology, Engineering, Mathematics) plus 4 years of data analytics experience. At least 1 year of experience working with AWS. At least 1 year of experience managing people. At least 5 years’ experience in Python, Scala, or R for large‑scale data analysis. At least 5 years’ experience with machine learning. Sponsorship Capital One will consider sponsoring a qualified applicant for employment authorization for this position. Compensation McLean, VA : $225,400 – $257,200 for Senior Manager, Data Science New York, NY : $245,900 – $280,600 for Senior Manager, Data Science Role is eligible for performance‑based incentive compensation, including cash bonuses and/or long‑term incentives (LTI). Incentives may be discretionary or non‑discretionary depending on the plan. Benefits Capital One offers a comprehensive, competitive, and inclusive set of benefits that support your total well‑being. Learn more at the Capital One Careers website. Equal Opportunity Capital One is an equal opportunity employer (EOE, including disability, veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. Application Process This role is expected to accept applications for a minimum of 5 business days. No agencies please. For technical support or questions regarding the recruiting process, contact View email address on click.appcast.io. #J-18808-Ljbffr Hobbsnews