# Lead Support Engineer (f/m/d) at Junior Data Scientist - Downstream Demand Forecast - Value Chain ...

- Company: Junior Data Scientist - Downstream Demand Forecast - Value Chain ...
- Status: Open
- Workplace: On-site
- Location: Lille, Upline, Nord
- Level: Lead
- Discipline: QA & testing
- Employment: Full-time
- Posted: 2026-09-24
- Skills: Engineering
- Apply: https://www.arbeitnow.fr/jobs/companies/junior-data-scientist-downstream-demand-forecast-value-chain/lead-support-engineer-lille-upline-nord-337144

## Description

<h3 data-path-to-node="22">Our <strong data-path-to-node="22" data-index-in-node="4">Order and Inventory Management Team</strong> is looking for a <strong data-path-to-node="22" data-index-in-node="57">Support Engineer (f/m/d) - Domain Manager</strong> on a <strong data-path-to-node="22" data-index-in-node="104">Permanent Contract</strong> based in <strong data-path-to-node="22" data-index-in-node="132">Lille.</strong></h3>
<p data-path-to-node="23">Passionate about logistics innovation, our team of 10 designs and operates the global digital solutions orchestrating Decathlon's order and stock flows. Our impact: guaranteeing the right product in the right place at the right time for our stores, warehouses, and marketplaces worldwide. Our challenges: accelerating the group's digital transformation, integrating new business models (circular economy, wholesale), and preparing the transition to SAP S/4HANA.</p>
<h3 data-path-to-node="24">YOUR FUTURE CONTRIBUTION</h3>
<p data-path-to-node="25">As a <strong data-path-to-node="25" data-index-in-node="5">Support Engineer (f/m/d)</strong>, you will ensure the stability, efficiency, and evolution of our order and stock orchestration tools. Your core responsibilities include:</p>
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<p data-path-to-node="26,0,0"><strong data-path-to-node="26,0,0" data-index-in-node="0">Run Management &amp; User Commitments:</strong> Organize daily ticket resolution, ensure service level agreements (stock accuracy KPIs, dispatch timing), and provide dedicated support during peak commercial periods.</p>
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<p data-pa

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