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Tier-1 brand, metro location, popular mid-level data scientist role with broad requirements increases competition.
Core data science skills are transferable, though financial services familiarity is preferred.
Explicit 5-year requirement plus mandatory data science skills and programming languages increases filtering rigor.
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Develop and deliver data science solutions to measure progress against firmwide data strategy with scalable telemetry and measurement solutions.
Partner with stakeholders to identify, source, and integrate data across cloud and on-premise environments to support strategic analytics and decision-making.
Design analyses, build dashboards, create machine learning models, and present actionable insights to senior leadership.
Minimum 5 years of experience as a data scientist or in an adjacent quantitative role.
Proficiency in Python, R, or equivalent programming language for data analysis and modeling.
Experience working with structured and/or unstructured data from multiple sources.
Work Experience Required: 5 years in data science or a closely related quantitative role.
Operates at a senior level capable of driving end-to-end analytics projects from problem framing to insight delivery within large, matrixed organizations.
Experienced in applying machine learning techniques combined with statistical rigor to support data strategy execution and measurement.
Comfortable partnering cross-functionally and presenting complex technical insights to both technical and senior non-technical audiences.