Back
Tier-1 brand, mid-level data science role, metro location, and common tech stack drive high competition.
Core data science skills transfer well, but banking risk/compliance adds moderate domain bias.
Explicit 5+ years, master's degree requirement, and specific data science skills create strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead complex data science initiatives applying advanced analytical and statistical techniques for actionable business insights with cross-functional impact.
Review and resolve complex multi-faceted business or technical challenges through advanced analysis and hypothesis generation, influencing teams and projects.
Collaborate strategically with senior stakeholders to drive data-driven recommendations and communicate insights clearly to non-technical audiences.
Minimum 5+ years of data science experience (work experience, training, military experience, or education).
Master's degree or higher in quantitative disciplines like mathematics, statistics, engineering, physics, economics, or computer science.
Proficiency in SQL, Python, SAS; experience with Google Cloud Platform and BI tools like Tableau, Power BI, or Excel.
Experience applying machine learning techniques such as segmentation, regression, decision trees, forecasting, and clustering.
Experienced in leading large-scale, cross-functional analytical projects in complex business environments.
Skilled in translating advanced data science outputs into strategic business recommendations for senior management.
Comfortable managing multiple priorities, mentoring peers, and driving new initiatives using innovative statistical models.