Data Scientist II

Overview

Data Scientist II role on the Ethoca Smart Subscriptions team within Mastercard's Consumer Clarity suite, building scalable, API-driven platforms that identify, enrich and manage subscription payments.

What you'll do

• Architect, develop and maintain advanced reporting and data visualization capabilities on large volumes of data to support product and innovation.
• Translate business requirements into tangible solution specifications and high quality, on-time deliverables.
• Create repeatable processes to support development of modeling and reporting.
• Use tools to manipulate large-scale databases and synthesize data insights.
• Provide 1st level insights, conclusions and assessments and present findings via Excel and PowerPoint.
• Apply quality control, data validation and cleansing processes to new and existing data sources.

What you'll need

• Experience with Generative AI, Large Language Models (LLMs), Agentic AI systems, prompt engineering and AI-powered workflow automation.
• Experience developing GEN AI solutions using Python, Azure OpenAI services and modern orchestration frameworks.
• Ability to leverage AI agents and advanced analytics to automate business processes, generate actionable insights and improve decision making at scale.
• Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• Experience presenting data findings in a readable and insight-driven format, and building support decks.
• Advanced SQL coding.
• Experience on SQL Server and the Microsoft BI Stack.
• Excellent problem solving, quantitative and analytical skills.
• In-depth technical knowledge, drive and ability to learn new technologies.
• Strong attention to detail and quality.
• Team player with excellent communication skills.
• Must be able to interact with management, internal stakeholders and collect requirements.
• Must be able to perform in a team, use judgment and operate under ambiguity.
• Bachelor's or Master's degree in Computer Science, Information Technology or Engineering.

Nice to have

• Financial institution or payments experience.
• Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS).
• Experience building data models.
• Experience with data visualization tools such as Tableau, Domo or PowerBI.
• Experience with Hadoop environments, Python or R.

Details

• Location: Pune, India.
• Every person working for or on behalf of Mastercard is responsible for information security: abide by security policies and practices, ensure confidentiality and integrity of information, report suspected security breaches, and complete all mandatory security trainings.