Data Scientist II-3

Mastercard Inc.; Gurugram District; Vor Ort; INR 1.500.000 - 3.500.000; Vollzeit

Zusammenfassung

Mastercard Inc. is seeking a Data Scientist II-3 to lead AI initiatives across the organization. You will develop advanced AI/ML solutions, leveraging Python, R and SQL, and apply deep learning on large-scale data.

You will work with cross-functional teams across borders, iterating towards robust, real-time insights that enhance fraud risk management, recommendations, and customer experiences.

Qualifikationen

• Experience with AI/ML modelling and productionizing models.
• Strong programming in Python/R/SQL for data analysis and experimentation.
• Proficiency with DL/ML algorithms and tools across platforms.
• Familiarity with Big Data tech (Hadoop/Hive/Spark) and distributed training.

Aufgaben

• Gather information to define business problems and opportunities.
• Develop AI/ML applications leveraging latest industry advancements.
• Collaborate cross-functionally to implement AI initiatives across Mastercard.

Kenntnisse

Python

R

SQL

Deep Learning

Machine Learning

Big Data

Hadoop

Hive

Spark

GPU Clusters

TensorFlow

Keras

PyTorch

XGBoost

Theano

NLP

Time Series

Tools

Hadoop

Hive

Spark

GPU Clusters

TensorFlow

Keras

PyTorch

XGBoost

Theano

Jobbeschreibung

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 and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II-3 Job Description Summary We are the global technology company behind the world’s 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 problem
• Creative thinker capable of linking AI methodologies to identified business challenges
• Develop AI/ML applications leveraging the latest industry and academic advancements
• Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda

All About You:

• 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

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.