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Known fintech brand, generalist Data Scientist title, mid-level role, and metro hiring increase candidate competition.
Core ML/data skills are transferable, but fintech domain emphasis increases background specificity moderately.
Prefers significant experience and advanced degree plus leadership, but lacks strict years or mandatory certifications.
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Lead design and implementation of robust data pipelines for seamless data integration.
Drive strategy and application of statistical and machine learning methods to solve complex business problems in financial technology.
Manage large-scale technology projects with high autonomy and provide expert guidance across teams.
Significant experience in leading large-scale data science or technology projects.
Bachelor’s degree required; advanced degree often preferred.
Expertise in statistical methodologies and machine learning applications.
Work Experience Required: Significant experience leading projects and mentoring teams.
Experienced in managing multiple complex projects with a high level of autonomy and minimal oversight.
Capable of influencing program direction and resource allocation within broad functional policies.
Demonstrated ability to coach and mentor technical team members and drive innovative solutions in financial technology.