Data Scientist II-1

Mastercard; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Mastercard in India is seeking a Data Scientist II-1 to translate business problems into AI solutions. You will explore data, design experiments, and build models that scale across divisions.

You will work with cross-functional teams, apply DL/ML techniques, and leverage big data tools to improve efficiency, customer experience, and risk management.

Qualifications

• Demonstrated passion for AI and data science, including Kaggle or similar competitions.
• Experience with DEEP LEARNING, ML algorithms and data-driven problem solving.
• Familiarity with big data platforms (Hadoop, Hive, Spark) and programming in Python/R/SQL.
• Exposure to recommender systems, time series, NLP, and ML production workflows.

Responsibilities

• Gathers information to define business problems and translates them into ML tasks.
• Develops AI/ML applications leveraging latest industry and academic advancements.
• Works cross-functionally to deploy AI solutions across Mastercard divisions.
• Applies optimization and evaluation techniques to ensure scalable models.

Skills

Deep Learning

Recommender Systems

Time Series

NLP

Machine Learning

Python

SQL

Education

Computer Science

Tools

TensorFlow

Keras

PyTorch

XGBoost

Hadoop

Spark

Job description

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-1

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. 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.