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Tier-1 brand, mid-level data science role with broad applicant pool in metros.
Data science skills are broadly transferable, though banking risk/compliance emphasis increases domain specificity.
Requires explicit 4+ years of data science experience and a master's degree.
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Lead or contribute to moderately complex data science projects involving advanced analytics, statistical techniques, and modeling to generate actionable insights and strategic recommendations.
Analyze large, structured and unstructured datasets to identify trends, generate hypotheses and convert data into meaningful business insights.
Collaborate with colleagues and mid-level managers to drive data-driven strategies; may lead projects or mentor junior staff, and communicate findings to non-technical audiences.
4+ years of data science experience (including work experience, training, military experience, or education).
Master's degree or higher in quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Must be able to work effectively with large, heterogeneous data sets requiring advanced analytical techniques.
Notice period: Not explicitly mentioned in the JD.
Experienced in leading or independently executing complex analytical initiatives using statistical modeling and programming for business decision support.
Comfortable working in a collaborative environment with mid-level management and mentoring junior staff.
Skilled in translating complex analytical results into actionable recommendations for non-technical stakeholders.