Lead Algorithmic Supply Chain Engineer (Night Shift)
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.
Requirements
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.
Why work at NEPA Works?
- Industry-standard incentives and benefits.
- Practical workplace experience.
- Learning and development opportunities.
- Exposure to professional business operations.
- Support from experienced team members.
- Collaborative and respectful work culture.
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Career growth based on learning and performance.
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