Mastercard Incorporated Hiring for Lead Data Engineer (R-176463) at O’Fallon Full Time

DescriptionOur PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate aculture of inclusionfor all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results.Job TitleLead Data EngineerOverviewThe Cyber and Intelligence Platform Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models. The models generated are production ready and created to back specific products in Mastercards 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 are must be designed to scale, to be repeatable, resilient, and industrialized.You will be joining a team of Data Scientists working on innovative A.I. and M.L. risk based authentication and Click-to-Pay solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance. 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 A.I. model evaluation and reporting processes.RoleAs a Lead Data Engineer, you will: Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products Generate and maintain and optimize data pipelines for model building and model performance evaluation Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling Evaluate production models based on business metrics to drive continuous improvementAll About YouEssential Skills: Data Engineering experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Netezza, Spark. Good knowledge of Linux / Bash environment Python and one of the following machine learning librarieso Spark MLo TensorFlowo Scikit Learn Good communication skills Highly skilled problem solver Exhibits a high degree of initiative At least an undergraduate degree in CS, or a STEM related field.Nice to have: Masters or PhD in CS, Data Science, Machine Learning, AI or a related STEM field Experience in with data engineering and model building in PySpark using Spark ML on petabyte scale data Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error Loves working with error-prone, messy, disparate, unstructured dataCOVID-19 ConsiderationsIn many locations, weve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in our NYC offices, as required by law, only individuals who have been fully vaccinated against COVID-19 will be permitted inside Mastercard offices unless a reasonable accommodation has been approved in advance.In the US, Mastercard is an inclusive Equal Employment 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. If you require accommodations or assistance to complete the online application process, please contactreasonable_accommodation@masterc