Advanced Pricing Optimization Specialist

2 days ago

Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 25,00,000
Job Opportunity

 

The Role Overview

We seek a seasoned Data Scientist with proficiency in machine learning and programming to develop a robust optimization engine that facilitates informed pricing decisions. The engine will utilize SKU-level data, elasticity inputs, and profitability metrics to recommend optimal pricing strategies based on business objectives.

Key Responsibilities:

  • Refactor and enhance the existing optimization logic for improved speed, scalability, and modularity.
  • Model price-volume relationships using elasticity inputs at SKU and brand levels.
  • Develop optimization logic using constrained techniques (e.g., linear/quadratic programming).
  • Integrate business rules and constraints such as price bounds, SKU/brand-level caps, and TDP limits.
  • Enable scenario-based optimization with user-defined goals (e.g., maximize profit or volume).
  • Support multi-brand optimization without interdependency between SKUs and brands.
  • Collaborate with cross-functional teams to validate model behavior and outcomes.

Inputs You'll Work With:

  • SKU-level data: volume, elasticity, profitability, TDP, and price bounds.
  • Business rules: brand-level caps, SKU exclusions, optimization targets.

Deliverables:

  • A modular Python-based optimization engine.
  • JSON-based input/output support for seamless integration.
  • Logging and fallback mechanisms for infeasible constraints.
  • Unit tests and validation with historical data.

Tech Stack & Skills:

  • Proficient in Python, especially NumPy, Pandas, SciPy or Pyomo/CVXOPT.
  • Experience with constrained optimization techniques.
  • (Preferred) Background in price optimization, demand modeling, or econometrics.

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