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Tier-1 brand, metro location, mid-level data role and common skillset increase applicant competition.
Core data science skills are transferable, but banking risk and compliance raise domain-specific sensitivity.
Requires explicit 4+ years and a quantitative master's degree, indicating strict experience and academic filters.
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Lead or contribute to moderately complex data science projects using advanced analytical and statistical techniques to generate actionable insights and support large-scale planning.
Analyze large structured and unstructured datasets to develop insights, hypotheses, and recommendations influencing business decisions across various domains.
Communicate data-driven strategies and recommendations effectively to non-technical stakeholders; may lead teams or mentor junior staff.
Minimum 4+ years of data science experience or equivalent demonstrated experience.
Master's degree or higher in a quantitative discipline (e.g., mathematics, statistics, engineering, physics, economics, or computer science).
Experience with advanced analytics, statistical modeling, and programming skills for large data sets.
Work Experience Required: 4+ years in data science or equivalent.
Experienced in managing and executing moderately complex analytical projects with a focus on actionable business insights.
Skilled in handling large-scale, diverse data sets including structured and unstructured data sources.
Capable of collaborating across teams and communicating complex data insights to non-technical audiences effectively.