Manager, Data Scientist

OverviewManager, Data Scientist, Fraud IntelligenceData is at the center of everything we do. As a startup, we disrupted the credit card industry by applying statistical modeling and modern data approaches. This tradition continues as we scale to become a Fortune 200 company, leading data-driven decision-making at scale.As a Data Scientist at Capital One, you’ll be part of a team that uses computing and machine learning technologies across billions of customer records to unlock opportunities that help everyday people save money, time and effort in their financial lives.Team DescriptionThe Fraud Intelligence team builds machine learning models to protect customers from fraud. We build, maintain, and manage models using Python, Spark, and Kubernetes.Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from large volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationTranslate complex work into tangible business goalsThe Ideal Candidate isCreative – thrives on solving undefined problems and sharing new ideasCustomer first – focused on making the right decisions for customersA leader – challenges conventional thinking and develops talentTechnical – comfortable with open-source tools and cloud computing; can retrieve, combine, and analyze data from diverse sourcesStatistically-minded – has built and evaluated models and understands metrics like confusion matrices and ROC curves; experience with clustering, classification, sentiment analysis, time series, and deep learningBasic QualificationsCurrently has, or is in the process of obtaining, one of the following with the expectation that the degree will be obtained by the start date: Bachelor’s Degree in a quantitative field plus 6 years of data analytics experienceMaster’s Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of data analytics experiencePhD in a quantitative field plus 1 year of data analytics experienceAt least 1 year of experience leveraging open-source programming languages for large-scale data analysisAt least 1 year of experience working with machine learningAt least 1 year of experience utilizing relational databasesPreferred QualificationsPhD in STEM plus 3 years of data science experience or Master’s in STEM plus 5 years of data science experienceAt least 1 year of AWS experienceAt least 4 years’ experience in Python, Scala, or R for large-scale data analysisAt least 4 years’ experience with machine learningAt least 4 years’ experience with SQLCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. This information is for candidates hired to work within the listed locations and reflects the amount Capital One is willing to pay at the time of posting. Salaries for part-time roles will be prorated based on hours worked.Locations and ranges: McLean, VA: $193,400 - $220,700; Richmond, VA: $175,800 - $200,700; New York, NY: $211,000 - $240,800; Anytown, IL: $175,800 - $200,700. Other locations follow respective pay ranges.This role is also eligible for performance-based incentives, including cash bonuses and/or long-term incentives (LTI).Capital One offers a comprehensive benefits package. Learn more at the Capital One Careers website. Eligibility varies by status and level.This role is expected to accept applications for a minimum of 5 business days. No agencies, please. Capital One is an equal opportunity employer (EOE, including disability and veteran status).If you require accommodations during the application process, contact Capital One Recruiting at 1-800-304-9102 or via email at . All information will be kept confidential and used only to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please email . #J-18808-Ljbffr

Created: 2025-09-17