Senior Data Scientist

Overview

Senior Data Scientist role in Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing AI use cases for product optimization and operational efficiency.

What you'll do

• Develop AI/ML solutions and applications leveraging the latest industry and academic advancements.
• Interpret and explain model predictions and insights to varied audiences.
• Work autonomously on a strong team to find opportunity and deliver business impact in an unstructured environment.
• Leverage open and closed source technologies to solve business problems.
• Work cross-functionally and across borders with a broader team of colleagues to execute the AI agenda.
• Partner with technical teams to implement developed solutions and applications in production environments.
• Support a learning culture continuously advancing AI capabilities.

What you'll need

• Demonstrated passion for AI, including competing in sponsored challenges such as Kaggle.
• Strong theoretical understanding of statistical techniques, machine learning algorithms and their mathematical underpinnings.
• 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.
• Previous experience with or exposure to big data platforms such as Hadoop, Hive, Spark, and GPU clusters for deep learning.
• Previous experience with or exposure to classical machine learning algorithms such as Logistic Regression, Decision Trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, and Recommender Systems (Collaborative Filtering, FPMC, FISM, Fossil).
• Previous experience with or exposure to deep learning algorithm techniques such as Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, and Feedforward Neural Networks.
• Previous experience with or exposure to optimization techniques including Activity regularization (L1 and L2), Adam, Adagrad, Adadelta; and cost functions in neural nets including Contrastive Loss, Hinge Loss, Binary Cross Entropy, and Categorical Cross Entropy.
• Previous experience with or exposure to developed applications in KRR, NLP, Speech and Image processing.
• Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum.
• Capable of navigating a complex organization in a relentless pursuit of answers and clarity.
• Ability to understand technical system architecture and overarching function along with interdependency elements, and to anticipate challenges for immediate remediation.
• Ability to unpack complex problems into addressable segments and evaluate the AI methods most applicable to each segment.
• Incredible attention to detail, instilling confidence without qualification in developed solutions.
• Strong written and oral communication skills.
• Strong project management skills.

Nice to have

• Experience with or exposure to CNN, LSTM and GRU deep learning architectures.
• Experience with or exposure to deep learning frameworks for production systems such as TensorFlow, Keras, PyTorch, XGBoost, Caffe, and Theano.

Details

• Location: Gurgaon, India.