Data Scientist

Job Description

Job TitleData Scientist 1-5We are the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity)Role:Gather relevant information to define the business problemCreative thinker capable of linking AI methodologies to identified business challengesDevelop AI/ML applications leveraging the latest industry and academic advancementsAbility to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agendaAll About You:: Demonstrated passion for AI competing in sponsored challenges such as KagglePrevious experience with or exposure to:Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQLBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learningClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means,Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, FossilDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTMs GRUs is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processingDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plusConcentration in Computer ScienceCOVID-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.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 Mastercards 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 Mastercards guidelines.,

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