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Tier-1 brand, Bangalore location, and mid-level experience drive high applicant competition.
Specialized retail pricing, elasticity, and forecasting expertise reduces cross-industry transferability.
Explicit 4+ years, mandatory pricing/elasticity experience, and specific tech stack increase shortlisting strictness.
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Develop and improve statistical and machine learning models for price elasticity, demand forecasting, and pricing optimization to influence Target's pricing decisions.
Collaborate with cross-functional teams to translate complex pricing challenges into scalable model solutions and build simulation frameworks to test pricing strategies.
Monitor and maintain model performance, support experimentation design, and explore AI tools to enhance pricing decision-making and explainability.
4+ years of experience in data science, machine learning, econometrics, forecasting, optimization, or related pricing science fields.
Strong programming skills in Python and SQL; experience with large-scale data platforms like Spark, PySpark, Hive, or Hadoop.
Bachelor’s, Master’s, or PhD in Data Science, Statistics, Economics, Mathematics, Operations Research, Computer Science, Engineering, or related quantitative disciplines.
Work Experience Required: 4+ years relevant experience.
Experienced in applying advanced statistical modeling, causal inference, and optimization techniques in retail pricing or related domains.
Comfortable working with large, complex datasets and translating business problems into analytical solutions under ambiguous conditions.
Skilled in cross-team collaboration and communicating complex model logic and findings to both technical and non-technical stakeholders.