Principal Data Scientist

Job Description

Job Ttitle: Principal Data Scientist

Company: Mastercard


Description: Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummaryPrincipal Data ScientistOverviewThe Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models focused on fighting fraud across the Mastercard ecosystem. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and banking. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.RoleAs a Principal Data Scientist, you will:Be a senior practitioner researching and builing production quality fraud models that run in real time to screen transaction networks.Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing productsWork with multiple disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modelingGenerate and maintain and optimize data pipelines for model building and model performance evaluationSet the roadmap and identify methods and approaches that enhances the performance of existing fraud detection modelsOverall responsibility for development, testing, and evaluation of modern machine learning and AI models for specific productsOversee implementation of modelsEvaluate production models based on business metrics to drive continuous improvementAll About YouEssential Skills:Extensive data science experience and significant leadership rolesDemonstrated full lifecycle model development, deployment and evaluation for complex problemsExperience with SQL language and the following technologies: PySpark, Hadoop, DatabricksGood knowledge of Linux / Bash environmentPythonXGBoostGood communication skillsHighly skilled problem solverExhibits a high degree of initiativeAt least an undergraduate degree in CS, or a STEM related fieldNice to have:PhD/Master’s in CS, Data Science, Machine Learning, AI or a related STEM fieldExperience in with data engineering and model building in PySpark using Spark ML on petabyte scale dataUnderstands and implements methods to evaluate own work and others for bias, inaccuracy, and errorLoves working with error-prone, messy, disparate, unstructured data#SecuritySolutionsTotal Base Pay Range
165,000.00 – 264,000.00 USD AnnualMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard’s security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.Pay Ranges O’Fallon, Missouri: $165,000 – $264,000 USD

Salary:

Location: O’Fallon, MO

Date: Thu, 15 May 2025 07:27:37 GMT


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