Haystack
← Back to Jobs
Other

Applied Scientist

Cystems LogicCA🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This hybrid Applied Scientist role offers a fantastic opportunity to leverage your mathematical optimization and Python skills to directly impact regional store allocation, with excellent potential for skill development and career growth within a reputable company. You'll thrive here if you enjoy solving complex problems in a collaborative environment, and the flexibility of hybrid work adds to the appeal of this exciting position. Don't miss out on the chance to apply and make a significant contribution!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Sr Applied Scientist - Allocation Optimization | Optimization Engineer

Location: Irvine, CA and remote acceptable too

Scope:

  • Hands-on mathematical optimization for regional store allocation
  • Extend existing constraint-based, multi-objective allocation framework to new regional store configurations
  • Adapt models to regional business rules (store capacity, presentation minimums, lead times, clearance logic)
  • Model retraining and tuning per region as stores come online
  • Support explainability outputs for regional business teams

Required:

  • Mathematical optimization (linear programming, constraint satisfaction, multi-objective)
  • Python (PuLP, OR-Tools; Gurobi familiarity a plus)
  • Retail inventory allocation and replenishment logic
  • SageMaker, Lambda integration
  • Comfortable in a federated data architecture (central model code, regional data)

Regards

Shubham Shehrawat

Skills

Linear
Python

Similar jobs

Browse related jobs

Apply now