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Strong employer brand, mid-level generalist data role, and common title increase candidate competition.
Skills transferable across industries but banking risk and compliance emphasis increases domain specificity.
Explicit 4+ years requirement and master's degree make filters stringent.
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Lead or participate in moderately complex data science initiatives leveraging advanced analytics, statistical techniques, and modeling to generate actionable insights and recommendations impacting business planning.
Analyze large structured and unstructured datasets, independently resolve issues, and mentor junior team members to meet deliverables.
Collaborate with mid-level management to drive data-driven strategies, communicate findings effectively to non-technical audiences, and execute innovative statistical models addressing diverse business problems.
Minimum 4 years of data science experience or equivalent through work, training, military experience, or education.
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Not explicitly mentioned: notice period or location requirements.
Not explicitly mentioned: mandatory programming languages or tools.
Experienced in managing or mentoring within moderately complex data science projects involving both structured and unstructured data sources.
Comfortable collaborating with cross-functional teams including mid-level leadership to influence strategies through data analytics.
Skilled in communicating complex analytical insights in accessible terms for non-technical stakeholders.