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Multiple amplifiers: Tier-1 brand, metro location, mid-level data science role with broad skill requirements.
Technical data science skills are transferable, but banking risk and compliance needs increase domain specificity.
Requires explicit 4+ years, master's degree, and domain-specific technical skills.
Lead or participate in moderately complex data science initiatives using advanced analytical, statistical techniques, and models to generate actionable insights and recommendations.
Analyze and interpret large, structured and unstructured data sets to convert data into meaningful business insights and solutions.
Collaborate and consult across teams to drive data-driven strategies, lead projects or teams, and mentor junior staff while communicating insights to non-technical audiences.
4+ years of data science experience or equivalent demonstrated by work experience, training, military experience, or education.
Master's degree or higher in a quantitative discipline (mathematics, statistics, engineering, physics, economics, or computer science).
Experience handling large, complex data sets and using advanced analytics and modeling techniques.
Proficient in programming and analytic tools (SQL, Python, SAS, PySpark, GCP, BI tools like Tableau/Power BI/Excel) - implied in desired qualifications but not strictly mandatory.
Experienced in applying machine learning techniques including segmentation, regression, decision trees, forecasting, and clustering for business problem solving.
Skilled at managing multiple tasks and priorities in dynamic environments with a structured, proactive approach.
Able to synthesize complex data into clear, actionable insights and effectively communicate these to stakeholders at varying technical levels.