Why Supply Chain is the Best Domain for Data Scientists in 2026...

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2026-01-07 12:01:01 -

Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. Solid read for anyone thinking about where to focus their skills next.

Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. 📦 Solid read for anyone thinking about where to focus their skills next.

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Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)

My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued. The post Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It) appeared first on Towards Data Science.

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