Data Scientist, lead
Core
Lead end-to-end discovery, design, configuration, testing, and deployment of analytical models and predictive modeling concepts for enterprise planning and supply chain optimization.
Role type
Lead Data Scientist (Supply Chain & Planning)
Builds
AI-powered demand sensing, forecasting, optimization, anomaly detection, and simulation modules for the o9 digital brain platform.
Domain
Enterprise planning, supply chain management, and AI-driven decision-making.
Deliverable
production ML models | product features
Required skills
Time series forecasting (exponential smoothing, ARIMA, Prophet), heuristic-based hierarchical modeling, statistical and machine learning algorithms, feature engineering, model tuning and testing, Python, R, SQL, web service integration.
Preferred skills
Experience in supply chain planning (demand, supply, market intelligence, assortment/pricing/inventory), applying AI/ML to solve business problems, generating new business metrics.
Technologies
Python, R, SQL, ARIMA, Prophet, exponential smoothing, LP, GA, Heuristic models.
Responsibilities
Own end-to-end lifecycle of analytical models; identify and collect relevant data sources; apply ML techniques to real-world problems; develop/optimize models for forecasting and optimization; integrate modules with external systems; collaborate with clients and technical teams.
Seniority
Senior, hands-on IC with leadership responsibilities.
