Data Scientist II, Product Data & Analytics

Overview

Data Scientist II, Product Data & Analytics, partnering with global and regional teams to build scalable, end-to-end data solutions and influence data-driven decisions across Mastercard.

What you'll do

• Partner with global and regional teams to design, develop, and maintain advanced reporting and data visualization capabilities using large-scale data sets across products, markets, and services.
• Translate business requirements into clear solution specifications and deliver high-quality outputs on time.
• Create repeatable processes for ETL development, data modelling, and reporting.
• Use analytical tools to manipulate large-scale databases, synthesize insights, and present findings through Tableau, Power BI, Excel, and PowerPoint.
• Apply quality control, data validation, and cleansing processes to both new and existing data sources.
• Bring passion, curiosity, and technical expertise to every engagement.
• Gather and clarify requirements with management and internal stakeholders.
• Present data findings in a clear, readable, and insight-driven format, including support decks for stakeholders.
• Prioritize and manage multiple tasks simultaneously.
• Identify and mitigate risks through project management discipline.
• Abide by Mastercard’s security policies and practices.
• Ensure the confidentiality and integrity of all information accessed.
• Report any suspected information security violation or breach.
• Complete all required periodic security training in accordance with Mastercard guidelines.

What you'll need

• 3–5 years of experience in data engineering and management, data mining, data analytics, reporting, data product development, or quantitative analysis.
• Advanced SQL skills, including the ability to write optimized queries for large data sets.
• Experience with platforms and environments such as Databricks, Cloudera Hadoop, big data technology stacks, SQL Server, Microsoft BI Stack, cloud platforms, Snowflake, and related technologies.
• Exposure to Python, Scala, Hive, Impala, Spark, cloud technologies, and related tools.
• Experience creating data pipelines using tools such as Alteryx, SSIS, or similar platforms.
• Experience with at least one data visualization tool, such as Power BI, Tableau, or a similar platform.
• Advanced knowledge of job scheduling tools such as Apache Airflow, NiFi, or similar workflow orchestration tools.
• Experience applying data validation, quality control, and cleansing processes to new and existing data sources.
• Ability to present data findings in a clear, readable, and insight-driven format, including support decks for stakeholders.
• Ability to engage with management and internal stakeholders to gather and clarify requirements.
• Ability to work effectively in a team, apply sound judgment, and operate through ambiguity.
• Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field.
• Excellent English language, quantitative, technical, and communication skills, both written and verbal.
• Strong analytical and problem-solving skills.
• High attention to detail and commitment to quality.
• Creativity and innovation in approaching analytical challenges.
• Self-motivated working style with a strong sense of urgency.

Nice to have

• Experience writing stored procedures, functions, and views.
• Exposure to AI, machine learning, or agent creation.
• Experience in financial institutions or payments.
• M.S. or M.B.A.

Details

• Location: Gurgaon, India.