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Mid-level (5 years) and Bengaluru metro increase competition despite some decision-science specialization.
Core ML and analytics skills are broadly transferable across industries, lowering background sensitivity.
Explicit five-year Senior II requirement creates a moderately strict filter for shortlisting.
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Analyze complex data sets to extract actionable insights and forecast business outcomes using predictive models.
Develop and implement optimization techniques and decision support systems to improve business processes and resource allocation.
Collaborate with cross-functional teams to design experiments and evaluate the impact of data-driven decisions on key business metrics.
Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline; Master's or PhD preferred.
At least 5 years of relevant decision science work experience (Senior II level).
Strong skills required in statistical and mathematical knowledge, data modeling, visualization, and programming.
Fluency in English; no explicit mention of location or notice period restrictions.
Experienced in applying advanced decision science techniques in a business environment, including predictive modeling and optimization.
Strong analytical and numerical skills with attention to detail and ability to translate data into business strategies.
Capable of working collaboratively across functions to design experiments and support data-driven decision-making.