Machine Learning Engineer - Inventory Demand Fo... @ Braintrust
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Job Details
About the Role
The Machine Learning Engineer - Inventory Demand Forecasting role at Braintrust involves building machine learning models for forecasting demand and optimizing inventory systems for an Amazon-focused retail/eCommerce business. The role focuses on creating production-ready models that directly impact purchasing decisions and inventory management.
Project Scope
The role is divided into three monthly phases:
- Month 1: Build a demand forecasting model, safety stock calculator, and daily stockout alert system.
- Month 2: Develop a buy box share prediction model, competitor inventory monitoring, and opportunity scanner.
- Month 3: Create price elasticity models and an automated purchasing decision engine, with full system integration.
Team & Tools
Work with a small existing team including 2 full-time developers and a purchasing team. Access to years of clean historical sales data and existing tools such as PowerBI and internal software is provided. Direct access to decision makers ensures minimal bureaucracy.
Technical & Practical Requirements
- Experience with inventory/supply chain optimization and production-ready ML models.
- Amazon, retail, or eCommerce marketplace experience and understanding of competitive dynamics.
- Ability to build automated decision systems and comprehensive documentation for team integration.
- A 4-hour test project will be required before full engagement.
Working Arrangement
This is a remote position with CST time zone meetings. The role requires 20-40 hours per week with weekly sync meetings and a strong focus on delivery.
Key skills/competency
- Machine Learning
- Forecasting
- Inventory Optimization
- Data Analysis
- Supply Chain
- eCommerce
- Automation
- Retail
- Documentation
- Decision Systems
How to Get Hired at Braintrust
🎯 Tips for Getting Hired
- Customize Resume: Tailor your resume to highlight ML and forecasting skills.
- Showcase Projects: Include production-ready models and case studies.
- Research Braintrust: Understand their eCommerce and retail focus.
- Prepare Test Project: Be ready to demonstrate practical skills.