Sr Applied Scientist - Allocation Optimization - Remote

Posted 22 Days Ago
Be an Early Applicant
Hiring Remotely in San Jose, CA, USA
In-Office or Remote
Senior level
Information Technology
The Role
Design and extend constraint-based, multi-objective allocation models for regional retail stores. Adapt models to regional business rules, retrain and tune per region, integrate with SageMaker and Lambda, and provide explainability outputs for regional teams.
Summary Generated by Built In
Job Description

Hi,

 

Job Title: Sr Applied Scientist - Allocation Optimization

Location: Irvine, CA and remote acceptable too

Duration: 9 months Contract 

 

We have below longterm job opening.

If you are interested , Please send your updated resume with below details. 

 

Your current location:

Visa status:

Availability:

Expected rate all inc on c2c /1099 :

 

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)

Preferred:

 

Operations research background

Experience scaling optimization models across geographies

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • Mathematical optimization (linear programming, constraint satisfaction, multi-objective)
  • Python (PuLP, OR-Tools)
  • Gurobi familiarity
  • Retail inventory allocation and replenishment logic
  • AWS SageMaker integration
  • AWS Lambda integration
  • Comfortable in a federated data architecture (central model code, regional data)
  • Model retraining and tuning per region as stores come online
  • Support explainability outputs for regional business teams
  • Adapt models to regional business rules (store capacity, presentation minimums, lead times, clearance logic)
  • Operations research background
  • Experience scaling optimization models across geographies
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The Company
HQ: Chatsworth, CA
48 Employees

What We Do

Cystems Logic is gaining a competitive edge in today's economy and its all about speed and flexibility. Companies of small to large size and complexity need to adapt swiftly to evolving global business trends and opportunities. Cystems Logic supports rapid innovation to drive your business process excellence for increased productivity and profitability. We are here to lower to cost of using costly technology at increase Return on Investment (ROI). Our Strength is our talented team with solid foundation in the ERP arena. We are emerging providers of SAP new implementation, maintenance & support for small to large size companies in specific industry domain.

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