Procurement Data Scientist (H/F)
Renault Group is hiring a Procurement Data Scientist (H/F). Level rates it ; you can apply on Renault Group.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, SQL and Machine Learning Libraries among its tools and skills.
- Level classes it as a senior role.
- Renault Group has 454 other open roles on Level.
AI in this role
Develop end-to-end predictive machine learning systems and data models to optimize procurement and supply chain operations.
Company
RENAULT s.a.s.Job Description
Le Data Scientist doit comprendre et identifier les besoins des métiers Procurement et, en adéquation avec les données disponibles, proposer des solutions allant d’analyses aidant à la décision jusqu’au développement de systèmes prédictifs, tout en gardant comme objectif la valeur ajoutée.
Le champ d’application du Data Scientist couvre l’ensemble du périmètre de Renault Group Procurement : prospection et panel fournisseurs, processus de sourcing « Source To Contract », processus « Procure To Pay » incluant les livraisons, réceptions, facturations, paiements fournisseur, ainsi que l’ensemble de la gestion
Activités principales :
- Echanger avec les acteurs métiers Procurement pour définir le besoin et identifier les exigences spécifiques au cas d’usage .
- Explorer et qualifier les données disponibles et les intégrer dans un modèle
- Produire des analyses rigoureuses permettant aux acteurs métiers Procurement de prendre des décisions.
- Concevoir des programmes informatiques robustes qui permettent la réalisation de systèmes prédictifs de bout-en-bout.
- Concevoir, améliorer et auditer les algorithmes
- Communiquer de manière claire et pédagogique pour favoriser l’adoption de l’apprentissage automatique (machine learning) dans les différents métiers quand cette discipline apporte de la valeur.
Compétences métier :
- Maitrise de la modélisation de données (architecture, processus, référentiels)
- Expertise en statistiques descriptives et exploratoires
- Expertise en algorithmie / intelligence artificielle
- Expertise en programmation notamment sur les outils d’analyse de la donnée, de requêtage, de traitement et de visualisation et les bibliothèques d’apprentissage automatique et les bases de données.
- Familiarité avec le développement sur le cloud
- Maîtrise de la visualisation des données et de la création de tableaux de bord.
- Maitrise du règlement général sur la protection des données
- Pédagogue sur les méthodes utilisées et les limites des modèles prédictifs
- Expérience professionnelle d’au moins 5 ans incluant des réalisations concrètes dans le domaine du Procurement et idéalement dans le domaine industriel / automobile.
Compétences relationnelles et savoir-être :
- Bonne communication
- Pédagogie et vulgarisation
- Esprit de synthèse
- Pragmatisme
Relations de travail internes :
- Direction de l’Informatique
- Data Analysts
- Product Owners
- Data Managers
- Architectes
- Directeurs métiers et /ou membres du comité exécutif
Relations de travail externes :
- Universités et les laboratoires de recherche
- Editeurs de solutions cloud et/ou intelligence artificielle
Job Family
Information Technologies & SystemsRenault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.
We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.
In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.
By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Recruitment Privacy Information Policy.
How we rate this
Procurement Data Scientist (H/F) at Renault Group rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where procurement analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Predictive Modeling, Data Visualization, Statistics, and Procurement Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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