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Tier-1 brand, mid-level data scientist title, 4+ years and metro hiring drive high competition.
Core ML and data engineering skills are transferable, but payments/financial domain preference increases specificity.
Explicit 4+ years plus mandatory Databricks, Spark/SQL, LLM and cloud deployment requirements create high strictness.
Analyze and extract actionable insights on global payments flows to influence JPMorgan Chase’s product strategy.
Collaborate with product managers to design and deploy internal data products and scalable analytical data assets.
Develop and integrate AI/ML solutions, including agentic AI workflows, to enhance decision-making and operational efficiency.
Minimum 4 years experience in data science and analytics from problem framing to production deployment.
Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field (or equivalent practical experience).
Proficient in Databricks, PySpark/Spark, SQL, and Tableau; experience with cloud platforms like AWS for deploying data workloads.
Working knowledge of AI development basics including LLM fundamentals, prompt engineering, retrieval-augmented generation (RAG), and multi-channel processing (MCP) integrations.
Experience driving data science solutions within payments, financial services, fintech, or technology-enabled domains.
Comfortable managing stakeholder relationships and translating complex analytics into business insights for executive audiences.
Familiarity with management consulting approaches, including prioritizing business impact and program management discipline.