Lead Data Scientist (Startup) ($45,000 - $61,000) (USD)
Core
Design and build core machine learning models for demand forecasting, inventory optimization, and logistics planning to solve supply chain volatility.
Role type
Lead Data Scientist (Supply Chain/Logistics)
Builds
Production ML models for demand forecasting, inventory optimization, and disruption modeling
Domain
Supply chain management, logistics, manufacturing
Deliverable
production ML models
Required skills
Time-series forecasting, optimization algorithms, anomaly detection, Python (scikit-learn, Pandas, NumPy, Prophet), SQL, feature engineering, model validation
Preferred skills
Supply chain/logistics domain expertise, M.S. or Ph.D. in quantitative field
Technologies
Python, scikit-learn, Pandas, NumPy, Prophet, PuLP, Gurobi, SQL
Responsibilities
Design and deploy ML models for forecasting and optimization; conduct exploratory analysis on large datasets; establish data science best practices; quantify impact of black swan events; communicate model value to stakeholders; own end-to-end data science workflow
Seniority
Lead, hands-on IC
