Data Scientist II-1
Mastercard (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 18–35 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Define business problems by gathering relevant information and linking AI methodologies to these challenges.
- Develop and deploy AI/ML applications using state-of-the-art techniques and tools across Mastercard's payments and product ecosystems.
- Collaborate cross-functionally and internationally to implement AI solutions that enhance operational efficiency, customer experience, and product value.
Minimum Requirements
- Experience Required: Not explicitly mentioned in the JD.
- Proficiency in AI, Machine Learning, and Deep Learning techniques including classical models (Logistic Regression, Decision Trees, Clustering, Bayesian models) and neural networks (CNN, LSTM, GRU).
- Technical skills in Python, R, SQL, Big Data platforms (Hadoop, Hive, Spark), and deep learning frameworks such as TensorFlow, Keras, PyTorch.
- Concentration in Computer Science or equivalent relevant educational background.
Ideal Candidate Profile
- Candidates with practical experience in AI competitions (e.g., Kaggle) demonstrating applied knowledge of AI problem-solving.
- Comfortable working with large-scale data sets (10+ petabytes) and real-time transaction data for AI adoption at scale.
- Experienced in collaborative, cross-border team environments to deliver innovative AI-driven business solutions.