Develop and operate data platforms for publishing-distribution systems, designing system renewals and extending platforms for new customers and initiatives with Python, TypeScript, and GCP.
About this role
The data scientist develops and operates optimization solutions for book distribution, using logistics and sales data from publishers and bookstores. The work addresses returns and supply-chain decisions beyond demand forecasting, linking stakeholder business problems to models used in operational products. Work includes leading model workflow design and system requirements; developing and operating book-demand forecasts; enriching product and store data with generative AI and designing demand features; building recommendation systems; optimizing inventory and delivery costs; and calculating replenishment quantities under demand variation or disruptions. The listed environment includes Python, SQL, GCP, BigQuery, Cloud Run Jobs, Airflow, Dagster, LightGBM and FastAPI. Applicants need vocational or junior-college education or higher, and at least three years of experience in any one of Python-based machine learning or statistical modeling with real-world imperfect data, practical database extraction and transformation, or time-series forecasting or mathematical-optimization projects. Experience applying machine learning in a cloud environment is also required.
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