Data Scientist (Supply Chain Modeller)

AES Global; Cape Town; Presencial; ZAR 650 000 - 900 000; Tempo integral

Resumo da oferta

AES Global is seeking a Data Scientist (Supply Chain Modeller) to apply data analysis, modelling and simulation to complex supply‑chain problems and support smarter decisions for a digital supply chain.

Based in Cape Town with hybrid client‑site work, you will identify optimisation opportunities, define problem statements, build network models and what‑if simulations, and communicate insights to technical and non‑technical audiences.

Qualificações

• Degree in Operations Research, Mathematical Science, Engineering or similar.
• 3 years’ experience in data analysis, data science or network modelling.
• Experience in supply-chain, logistics, retail and project environment.
• Experience in mathematical model development and business requirement specifications.

Responsabilidades

• Identify supply-chain optimisation opportunities with measurable value.
• Define problem statements and lead data analysis and solution design.
• Build, maintain and run supply-chain network models and what-if simulations.
• Collaborate with data and software teams to deploy scalable solutions.
• Communicate analytical findings through data visualisation.

Conhecimentos

Data analysis

Python

SQL

Machine learning

Data visualization

Google Cloud Platform

BigQuery

Excel

Google Workspace

Formação académica

Operations Research

Mathematical Science

Engineering

Ferramentas

Google Cloud Platform

BigQuery

Cloud SQL

Descrição da oferta de emprego

We’re working with an established logistics business, and they’re looking for a Data Scientist (Supply Chain Modeller) to use data analysis, modelling and simulation to solve complex supply-chain problems and support smarter decisions for a digital supply chain.

What you’ll do

• Work with the business to identify supply-chain optimisation opportunities with measurable value


• Guide project scoping, define problem statements, and lead data analysis and solution design


• Build, maintain and run supply-chain network models (e.g. Greenfield analysis, multi-echelon optimisation) and what-if simulations


• Work with data and software teams to deploy robust, scalable solutions


• Apply a range of statistical and machine-learning modelling techniques, and perform sophisticated data preparation


• Communicate analytical findings to technical and non-technical audiences through data visualisation

What you’ll bring

• A relevant degree in Operations Research, Mathematical Science, Engineering or similar


• 3 years’ experience in data analysis, data science or network modelling


• Experience in a supply-chain, logistics, retail and project environment


• Experience in mathematical model development and business requirement specifications


• Google Cloud Platform and BigQuery (or similar), Cloud SQL, SQL, Python and data-science toolkits


• Advanced MS Office (especially Excel) and Google Workspace


• A valid driver’s licence and own transport (for weekly client travel)

Advantageous

• Network-optimisation software (e.g. Optilogic, Coupa/Llamasoft)


• Agile methodologies

Working model

Hybrid, based in Cape Town, with some client-site days.