Data Scientist
Core
Build AI/ML solutions to optimize agricultural supply chain planning, inventory allocation, and commercial decisions.
Role type
Senior IC data scientist (supply chain optimization)
Builds
Production ML models for demand planning and inventory allocation
Domain
Agriculture + Supply Chain
Deliverable
production ML models
Required skills
Python (pandas, numpy, scikit-learn, statsmodels), SQL, time series forecasting (ARIMA, Prophet, LSTM), clustering, optimization algorithms, experimental design, statistical hypothesis testing
Preferred skills
LLMs, RAG architectures, agentic AI frameworks, knowledge graphs (RDF, SPARQL), supply chain domain expertise
Technologies
AWS, Databricks, Git
Responsibilities
Conduct exploratory data analysis on commercial and supply chain datasets; Develop, validate, and monitor ML models for time series, optimization, and clustering; Support design and refinement of knowledge graph ontologies; Act as internal technical reference for engineering teams; Design and implement model performance monitoring frameworks; Collaborate with data engineers on data pipeline integrity; Partner with product designers to translate model outputs into actionable insights; Support experiment design (backtesting, A/B tests) for AI recommendations
Seniority
Mid-Senior, hands-on IC
