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Tier-1 brand, popular data-science title, mid-level experience, metro location, broad skillset.
Medium—core data skills transfer, but banking domain and compliance increase specificity.
High—explicit 4+ years requirement and Master's degree plus domain experience.
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Lead or participate in moderately complex data science initiatives using advanced analytical and statistical techniques to produce actionable insights that influence large-scale planning.
Analyze large structured and unstructured data sets to generate hypotheses, advanced analysis, and recommendations driving business decisions across various domains.
Collaborate and consult with peers and mid-level managers, potentially leading projects or mentoring, to develop data-driven strategies and communicate insights to non-technical audiences.
4+ years of data science experience or equivalent as demonstrated by work experience, 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 in the JD: Notice period or location restrictions.
Not explicitly mentioned in the JD: Mandatory programming languages or specific technical tools.
Experienced in handling moderately complex analytical projects involving large and varied data sets requiring hypothesis generation and advanced statistical modeling.
Proven ability to translate complex data insights into actionable business recommendations for a range of stakeholders including non-technical audiences.
Capable of leading projects or teams and mentoring junior staff, indicating seniority and leadership within data science consulting environments.