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Global brand, Bangalore location, and mid-level data role increase applicant competition significantly.
Decision science requires domain and modeling experience, moderately transferable but business-context sensitive.
Explicit 6-year requirement and domain-specific decision science skills make shortlisting highly stringent.
Lead analysis of complex data sets to uncover actionable business insights.
Develop, deploy, and iterate predictive models and optimization techniques to improve business outcomes.
Design and implement decision support systems and lead cross-functional teams to drive data-driven decision-making.
Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, or similar discipline; Master's or PhD preferred.
Minimum 6 years of relevant decision science work experience (Lead II level).
Fluency in English mandatory.
Not explicitly mentioned: Specific programming languages or tools, explicit location requirements beyond Bangalore posting.
Experienced in advanced data science techniques including predictive modeling and optimization.
Capable of leading cross-functional teams and managing stakeholder engagement for business requirements.
Proficient in data modeling, visualization, and conveying complex data insights for strategic business decisions.