Senior Data Scientist (AI, ML, Pyspark, SQL)
Mastercard (company site, opens in a new tab)5–9 yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and productionize machine learning and data science solutions for Business & Market Insights products to solve complex business problems.
- Apply AI/ML techniques across product development lifecycle including model training, validation, deployment, and optimization using Python, PySpark, and SQL.
- Lead cross-functional collaboration to prioritize and deliver analytics-driven products, incorporating feedback from product managers, clients, and stakeholders.
Minimum Requirements
- 5-9 years of experience in Data Science supporting product development.
- Proficient in designing and deploying ML models including feature engineering, model training, validation, and evaluation.
- Strong skills in Python, PySpark for distributed data processing, and advanced SQL for data manipulation.
- Knowledge of data privacy, security, responsible AI practices including monitoring and explainability.
Ideal Candidate Profile
- Experienced in end-to-end data science solution delivery within a customer-centric product framework.
- Capable of making technical trade-offs considering performance, usability, feasibility, and stakeholder input.
- Demonstrated leadership in mentoring junior data scientists and driving innovation in AI/ML approaches for business impact.