Senior Data Scientist

Overview

Senior Data Scientist for Mastercard’s Global Pricing & Interchange team, using analytics and machine learning to generate insights that shape pricing and interchange strategy.

What you'll do

• Develop predictive models and advanced analytics for pricing and interchange initiatives.
• Perform complex analyses including profitability, segmentation, forecasting, simulations, optimization, and revenue analytics.
• Create reporting, dashboards, data visualizations, and self-service analytical capabilities.
• Build and enhance data pipelines, analytical datasets, and data products using modern cloud and big data technologies.
• Apply statistical, machine learning, and AI techniques to uncover trends and solve business challenges.
• Translate business requirements into analytical frameworks and actionable recommendations.
• Present findings and mentor junior team members.

What you'll need

• 5+ years of experience in data science, advanced analytics, quantitative modeling, business intelligence, or related disciplines.
• Strong expertise in data management, data mining, data modeling, predictive analytics, and data product development.
• Advanced SQL skills with experience on large-scale, complex datasets.
• Programming capabilities in Python and experience with Spark, Hive, Scala, Impala, or similar big data technologies.
• Experience with Hadoop/Cloudera, Snowflake, Databricks, and cloud platforms such as Azure/AWS.
• Proficiency with data visualization tools such as Power BI and Tableau.
• Experience with workflow orchestration and scheduling tools such as Apache Airflow or NiFi.

Details

• Corporate security responsibilities include following security policies, ensuring confidentiality/integrity, reporting suspected breaches, and completing periodic mandatory security trainings.