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Tier-1 brand, mid-level generalist title, metro location, and 3-6 years amplify competition.
ML/AI and platform skills are transferable, though payments domain experience increases fit.
Explicit 4+ years plus mandatory Databricks, PySpark, LLM and cloud skills.
Analyze payment network data to generate insights that influence JPMorgan Chase's Payments product strategy.
Collaborate with product managers and global teams to design and deploy scalable data-driven products and AI/analytics use cases.
Identify and implement agentic AI workflows to enhance operational efficiency, decision-making, and execution.
4+ years of hands-on experience in end-to-end data science and analytics solution delivery.
Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field (or equivalent).
Proficiency with modern data/analytics platforms and tools like Databricks, PySpark/Spark, SQL, and visualization tools like Tableau.
Experience in AI-powered solution development including LLM fundamentals, prompt engineering, RAG, and building/deploying data workloads on cloud platforms (e.g., AWS).
Strategic thinker with experience driving impact-focused solutions combining data science and business insights in payments or financial services.
Technical hands-on expert comfortable with cloud-based data platforms and AI integration for scalable product delivery.
Experienced in managing cross-functional stakeholder relationships and designing agentic AI solutions, preferably with consulting or fintech background.