Inventory Demand Forecast Engineer

New

Skills

Data Modeling Data Science English Forecasting Pandas PowerBI Python Sql Statistical Analysis Supply Chain Time series forecasting

Join our fast-paced retail/eCommerce business as a Machine Learning Engineer, leading the development of ML-driven forecasting and inventory optimization solutions for Amazon-focused operations. You will collaborate remotely with our dedicated developers and purchasing team to automate and enhance purchasing decisions for over 100 brands and thousands of SKUs. Enjoy direct access to decision makers, years of clean historical data, and the autonomy to deliver impactful solutions that reduce stockouts, overstock, and margin inefficiencies.

Key Responsibilities
  • Design, build, and deploy demand forecasting models considering seasonality, stockouts, and competitor actions.
  • Develop safety stock calculators and daily alert systems for inventory risk management.
  • Create predictive models for buy box share, competitor monitoring, and opportunity identification.
  • Implement price elasticity models and automated purchasing decision engines.
  • Ensure seamless integration of new systems with existing PowerBI and internal software.
  • Document new tools and processes for junior analysts and team adoption.
Required Skills & Qualifications
  • Proven experience in inventory and supply chain optimization.
  • Ability to build production-ready ML models for retail/eCommerce environments.
  • Strong understanding of Amazon marketplace dynamics and competitive strategies.
  • Expertise in automated decision systems and forecasting techniques.
  • Proficiency in integrating ML solutions into business workflows.
  • Excellent communication skills for presenting insights and collaborating with cross-functional teams.
  • Self-motivated, results-oriented, and comfortable with remote, autonomous work.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Intermediate

Duration: 12 Months

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