Lead Algorithmic Supply Chain Engineer (Night Shift)
Kathmandu,
Nepal
Kathmandu,
Nepal
We are seeking an elite computational thinker to architect the mathematical engine of our cross-border B2B supply chain. Operating between US buyers and Chinese manufacturing nodes, you will apply multivariable calculus, graph theory, and AI to optimize our Supply Chain.
Responsibilities
- Design and develop mathematical models for supply chain optimization.
- Build algorithms for routing, demand forecasting, and inventory management.
- Apply multivariable calculus, graph theory, and AI to logistics problems.
- Optimize trans-Pacific shipping routes for cost and efficiency.
- Develop demand prediction models for US B2B markets.
- Improve inventory systems using EOQ and optimization techniques.
- Collaborate with engineering and operations teams to deploy solutions.
Must Have
- Bachelor’s Degree in Applied Mathematics, Computer Science, Engineering, or related field.
- Strong foundation in multivariable calculus, linear algebra, and statistics.
- Solid problem-solving and algorithmic thinking ability.
- Programming skills in Python, R, or similar.
- Basic understanding of machine learning or data analysis.
- Ability to work with real-world constraints and data.
- Strong analytical and logical thinking.
Nice to have
- Master’s degree or advanced coursework in a relevant field.
- Experience with machine learning or data science projects.
- Knowledge of supply chain or logistics systems.
- Familiarity with US–China trade dynamics (tariffs, delays, etc.)
- Experience with optimization techniques (EOQ, operations research).
- Exposure to real-world data modeling or forecasting projects.
What's great in the job?
- Great team of smart people, in a friendly and open culture
- No dumb managers, no stupid tools to use, no rigid working hours
- No waste of time in enterprise processes, real responsibilities and autonomy
- Expand your knowledge of various business industries
- Create content that will help our users on a daily basis
- Real responsibilities and challenges in a fast evolving company
