Senior Data Scientist (AI, ML, Pyspark, SQL)
Salary not listed • Pune, India • Full-time
Posted 2d ago
About the job
The Business & Market Insights (B&MI) team within Mastercard's Services division creates products that help customers understand their market better. The B&MI Data Science team builds models and solutions using Mastercard transaction data and other sources for these products, at a globally scalable level. This role is for a Data Scientist who will work across Product, Client Services & Delivery, Data & Engineering, and broader teams to deliver differentiated products driven by analytics & AI, leveraging rich data resources, AI platform capabilities, and near real-time execution. The role is central to developing new products and capabilities using analytics & AI, from concept and technical design to market release and optimization, driving new ideas forward with creative thought leadership, innovation, and industry best practices.
Responsibilities
- Design, develop, and productionize machine learning and data science solutions to solve complex business problems.
- Develop traditional ML solutions including feature engineering, model training, validation, evaluation, and deployment.
- Perform exploratory data analysis and translate complex datasets into actionable insights.
- Optimize data pipelines and ML workflows for performance, scalability, maintainability, and reliability.
- Develop robust and reusable Python components following sound software-engineering practices.
- Use PySpark to process, transform, and analyze large datasets efficiently in distributed environments.
- Write advanced, optimized SQL for data extraction, transformation, feature development, and analytical workloads.
- Apply appropriate controls for data privacy, security, responsible AI, monitoring, and explainability.
- Drive the evolution of Business & Market Insights products by applying Data Science and Artificial Intelligence to create models, tools, and capabilities.
- Participate in the exploration, application, and development of data science for product development.
- Participate in the identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development.
- Continuously innovate and determine new data science approaches & technologies to solve business problems and generate business insights & recommendations.
- Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework.
- Evaluate trade-offs between many possible analytics solutions to a problem, considering performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
- Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.
- Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.
- Work with small, cross-functional teams to define vision, establish team culture, and processes.
- Consistently focus on key drivers of organization value and prioritize operational activities accordingly.
- Identify and act upon product improvement opportunities.
- Provide technical leadership of junior colleagues through technical and non-technical mentoring.
Requirements
- 5-9 years of overall career experience in Data Science function supporting Products.
- Understanding of building Generative AI applications using Python and modern GenAI frameworks.