Senior Data Scientist (AI, ML, Pyspark, SQL)
Mastercard (company site, opens in a new tab)5–9 yrsPuneOn-siteDirect career pageEst. 25–45 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 AI-driven data science solutions to enhance Business & Market Insights products.
- Lead end-to-end product development journey from concept through market release and ongoing optimization, incorporating advanced analytics and near real-time execution.
- Provide technical leadership and mentoring within the data science team, collaborating with product, engineering, and sales to prioritize and solve customer-centric data science problems.
Minimum Requirements
- 5-9 years of experience in a Data Science role supporting product development.
- Strong proficiency in Python with sound software engineering practices and PySpark for processing large datasets in distributed environments.
- Advanced SQL skills for data extraction, transformation, and feature engineering.
- Experience applying controls for data privacy, security, and responsible AI, including monitoring and explainability.
Ideal Candidate Profile
- Experienced in developing and deploying scalable AI/ML models in cross-functional environments with a strategic focus on customer-centric product impact.
- Skilled in balancing multiple analytic solution trade-offs considering performance, usability, feasibility, and stakeholder input to deliver prioritized releases.
- Able to lead and mentor junior data scientists while driving innovation and adopting new data science techniques and technologies.