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

Published: 1 day ago (January 7, 2026 at 07:00 AM EST)

1 min read

Source: Towards Data Science

Key Takeaways

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.

Back to Blog

Retrieval for Time-Series: How Looking Back Improves Forecasts

Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data is tricky. Traditional forecasting models are unprepared for incidents...

The Best Data Scientists Are Always Learning

Part 2: Avoiding burnout, learning strategies and the superpower of solitude The post The Best Data Scientists Are Always Learning appeared first on Towards Dat...

WTF is Causal Machine Learning Engineering?

What is Causal Machine Learning Engineering? Causal Machine Learning Engineering is a way of building machine learning models that can understand cause‑and‑eff...

Data Analyst Guide: Mastering Neural Networks: When Analysts Should Use Deep Learning

Data Analyst Guide: Mastering Neural Networks – When Analysts Should Use Deep Learning As a data analyst, you're likely familiar with the buzz surrounding neur...

Key Takeaways

Related posts

Retrieval for Time-Series: How Looking Back Improves Forecasts

The Best Data Scientists Are Always Learning

WTF is Causal Machine Learning Engineering?

Data Analyst Guide: Mastering Neural Networks: When Analysts Should Use Deep Learning