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Blue Yonder Inventory Optimization

algoleap · Posted today

  • Bengaluru, Karnataka, India (On-site)
  • Full-time

About the role

Domain Persona: Capital Allocation Quant & Stochastic Mathematician

  • Key Core Tables: IOSERVICEGOAL, IOSAFETYSTOCK, IOSTATPARMS, SKUOPT

Differentiated Responsibilities

  • Multi-Echelon Stochastic Modeling: Design and apply multi-echelon safety stock strategy (MEIO) frameworks that mathematically absorb lead-time uncertainty, manufacturing yield variances, and structural demand volatility.
  • Service-to-Investment Calibration: Configure the IO optimization engine to establish dynamic, differentiated
  • Service Level Agreements (SLAs) mapped to high-, medium-, and low-margin customer-SKU clusters.

Target Role-Specific Experience & Skills

  • Exceptional domain knowledge in mathematical modeling (Poisson, Normal distributions, safety stock curves) mapped directly to corporate working capital targets.
  • Proven experience presenting capital trade-off curves to corporate finance leaders, illustrating how specific service targets dictate inventory dollar holdings.
  • Strong data auditing capability to evaluate the health of core planning cycle parameters (replenishment frequency, lead-time variance).

Skills

Multi-Echelon Stochastic ModelingData Auditing
Blue Yonder Inventory Optimization at algoleap, Bengaluru, Karnataka, India (On-site) | Quark9