Senior Data Scientist

umer experience, and efficiency.
Opportunity
Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate.
Role
• Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard
• Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases
• Gather relevant information to define the business problem interfacing with global stakeholders
• Creative thinker capable of linking AI methodologies to identified business challenges
• Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models
• Develop AI/ML solutions/applications leveraging the latest industry and academic advancements
• Leverage open and closed source technologies to solve business problems
• Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda
• Partner with technical teams to implement developed solutions/applications in production environment
• Support a learning culture continuously advancing AI capabilities
All About You
Experience
• Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch
• Demonstrated passion for AI competing in sponsored challenges such as Kaggle
• Previous experience with or exposure to:
oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning
oClassical 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
oDeep 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
oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus
• Exposure or experience using collaboration tools such as:
oConfluence (Documentation)
oBitbucket/Stash (Code Sharing)
oShared Folders (File Sharing)
oALM (Project Management)
• Knowledge of payments industry a plus
• Experience with SAFe (Scaled Agile Framework) process is a plus
Effectiveness
• 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
• Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness
• Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation
• Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment
• Incredible attention to detail and focus instilling confidence without qualification in developed solutions
Core Capabilities
• Strong written and oral communication skills
• Strong project management skills
• Concentration in Computer Science
• Some international travel required

Corporate Security Responsibility

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.