Data Scientist II-2

Mastercard; Gurugram District; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Mastercard seeks a Data Scientist II-2 to join its AI team, building innovative AI/ML solutions for payments and financial services at scale. You will gather business problems, translate them into AI projects, and collaborate across product, engineering, and security teams to deploy models in production environments.

The role offers exposure to state-of-the-art technologies, large datasets, and cross-border collaboration, with opportunities to influence core Mastercard products and customer

Qualifications

• Demonstrated passion for AI competing in Kaggle challenges.
• Experience with Deep Learning, statistical tools, and Python/R/SQL.
• Experience with Hadoop, Hive, Spark, GPU clusters for deep learning.
• Classical ML algorithms: Logistic Regression, Decision Trees, K-means, TSNE, PCA, Bayesian models, ARIMA/ARMA.
• Recommender systems: Collaborative Filtering, FPMC, FISM, Fossil.
• DL frameworks: TensorFlow, Keras, PyTorch, XGBoost, Caffe, Theano.
• Concentration in Computer Science.

Responsibilities

• Gather information to define the business problem.
• Creative thinker linking AI methodologies to business challenges.
• Develop AI/ML applications leveraging latest industry/academic advancements.
• Work cross-functionally across borders with a broader AI team.

Skills

Python

R

SQL

Deep Learning

Machine Learning

TensorFlow

PyTorch

Keras

XGBoost

NLP

Big Data

Hadoop

Hive

Spark

Theano

Computer Science

Education

Concentration in Computer Science

Tools

Hadoop

Hive

Spark

GPU Clusters

TensorFlow

Keras

PyTorch

XGBoost

Caffe

Theano

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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-2

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

• 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.