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Mastercard

Data Scientist II-1

Job · Full-timeIn OfficeGurugram2-3 years1 opening

About this role

Mastercard is hiring for Data Scientist II-1 in Gurugram. This opening was published by Mastercard on their official careers board (phenom) on 9 September 2026 and was confirmed live on 14 September 2026. Job details • Company: Mastercard • Role: Data Scientist II-1 • Location: Gurugram (as…

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Skills you'll use

PythonSQLMachine LearningDeep LearningNLPSparkHadoopTensorFlowPyTorchCybersecurityAlgorithms

What you'll do

  • All 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, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Who can apply

  • :• Demonstrated passion for AI competing in sponsored challenges such as Kaggle
  • Previous experience with or exposure to:
  • Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
  • Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning
  • Classical 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, Fossil
  • Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s 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 processing
  • Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus
  • Concentration in Computer Science
  • Corporate Security Responsibility

About Mastercard

Our Purpose Mastercard 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…

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