Data Scientist 1-4

1 week ago

Gurgaon, India Mastercard Full time

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a

culture of inclusion

for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

Job Title

Data Scientist 1-4

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.

Role:

- Gather relevant information to define the business problem
- Creative thinker capable of linking AI methodologies to identified business challenges
- 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 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.

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