Principal Data Scientist
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The role
The Principal Data Scientist will define and deliver scalable, AI-powered data products for the payments ecosystem.
Lead and influence cross-functional teams to translate complex business needs into robust data science solutions, ensuring regulatory, security, and privacy compliance.
Architect and drive data extraction, data quality, governance, and modeling standards; mentor engineers to produce extensible, maintainable code with secure practices.
Design and implement large-scale distributed systems with high availability and low-latency real-time processing using Hadoop, Spark, Flink, and Kafka.
Own end-to-end development—from experimentation and ETL pipelines to production deployment and testing—collaborating with product owners, cybersecurity, and stakeholders.
Spearhead platform transformations and AI-driven product innovations targeting banking, fintech, and integration partners, while fostering a culture of innovation and technical excellence.
Lead and influence cross-functional teams to translate complex business needs into robust data science solutions, ensuring regulatory, security, and privacy compliance.
Architect and drive data extraction, data quality, governance, and modeling standards; mentor engineers to produce extensible, maintainable code with secure practices.
Design and implement large-scale distributed systems with high availability and low-latency real-time processing using Hadoop, Spark, Flink, and Kafka.
Own end-to-end development—from experimentation and ETL pipelines to production deployment and testing—collaborating with product owners, cybersecurity, and stakeholders.
Spearhead platform transformations and AI-driven product innovations targeting banking, fintech, and integration partners, while fostering a culture of innovation and technical excellence.
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