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Strong company brand, mid-level generalist data scientist role, and metro hiring increase candidate competition.
Fintech focus and ML specialization limit transferability, though core data science skills remain somewhat portable.
Technical and ML expertise plus leadership expectations increase screening rigor despite no explicit year requirement.
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Lead design and implementation of robust data pipelines and large-scale data science projects with limited oversight.
Drive strategy for applying statistical methods and machine learning to solve complex business problems in financial technology.
Manage project execution, mentor technical team members, and influence technology product innovation and process improvements.
Significant experience in data science or related technical role with leadership over large projects.
Bachelor's degree required; advanced degree preferred.
Experience in financial technology domain or similar environments.
Work Experience Required: Significant experience; exact years not explicitly mentioned in the JD.
Operates autonomously managing multiple complex projects within broad functional policies.
Acts as a subject matter expert, providing mentorship and driving innovation in data science and engineering.
Experienced in influencing program direction and resource allocation in tech-focused environments.