18 jobs voor product data scientist gevonden

.Scaling intelligence into industrialized analytical products:.Your responsibilities.As a data scientist, you will support clients in:. Exploring analytical and data driven use cases:..

Je analyseert data van complexe industriële processen met als doel hen te verbeteren.
Je bewaart overzicht over het volledige project: vanaf sales support tem software engineering tot volledige implementatie on-site.
Je wordt toegewezen aan het project dat het beste past bij jouw passie, interesse en ervaring.

You also monitor the success measurement of digital projects.As a result, you make data insightful and enable our digital team, editors, marketers and sales teams to test their creative ideas.You identify the right use cases among internal customers and translate these into a concrete data science project;You participate in gaining key insights on all aspects of our brands;Using relevant tools and techniques, you process different datasets of varying size and complexity (big data stores, app, web, registration, email data);You help visualize insights and communicate them effectively with the rest of the company;You support the various end users in their daily use of data, they can come to you with questions;You guide data analysts in building notebooks;You manage your priorities and monitor the progress of your projects;You are an expert in the use of the internal data science platform and actively follow various user & expert groups on this topic, both internally and externally;You are always willing to help your colleagues, also outside your specialities.

Als Data & AI Expert speel je een cruciale rol in het analyseren en interpreteren van data om inzichten te verkrijgen die onze klant helpen bij het optimaliseren van verschillende aspecten van ons bedrijf.Naast het ontwikkelen van AI toepassingen ben je ook verantwoordelijk voor het analyseren van sales, conversie, marketingcampagnes, klantgedrag en markttrends.Door deze bredere scope van analyse draag je bij aan het verbeteren van de algehele bedrijfsprestaties.

Jouw taken omvatten onder andere

Verzamelen, voorbereiden en analyseren van gegevens met betrekking tot marketingcampagnes, conversie, klantgedrag en bedrijfsprocessen
Analyseren en genereren van voorstellen tot optimalisaties op het gebied van usability en UX/UI
Leiden van AI-projecten die een directe impact hebben op onze bedrijfsstrategieën en klanttevredenheid
Rapporteren van de belangrijkste KPI’s voor de verschillende afdelingen en het creëren van dashboards in Tableau
Monitoren van concurrentie en markttrends om kansen en bedreigingen te identificeren en actieplannen te ontwikkelen

.Verzamelen, voorbereiden en analyseren van gegevens met betrekking tot marketingcampagnes, conversie, klantgedrag en bedrijfsprocessen.

You train, fine tune, improve, and deploy ML models.Furthermore, you write production ready code and serve online, batch, and real time models.

S.Work on fun and innovative projects such as real time customer support bots, AI powered assistants for productivity tools, or even virtual event facilitators.Set up improvement cycles based on dashboards and data driven methodologies.Identify, analyze, and interpret trends or patterns in complex data sets (including unstructured textual data) in collaboration with data scientists.Manage databases, data collection systems, and data analytics strategies to optimize data quality.Communicate recommendations and provide data/analytical support to stakeholders using both analytical and business jargon (written and oral).Work with the product owner to prioritize business and information needs and implement them into an analytical approach. 

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting.At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients.If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

You’ll have knowledge and experience of the following:

• At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
• Strong software engineering background
• Experience deploying machine learning in production
• Experience with experiment tracking, models monitoring, and deployment strategies
• Ability to write production ready code in Python
• Experience with CI/CD pipelines and understanding of Infrastructure as Code
• Knowledge of containers and container orchestration
• Master software engineering best practices and software release cycle
• Solid understanding of Linux and in depth knowledge of at least one cloud provider
• Knowledge of big data technologies such as Apache Spark, Kafka
• Able to coach others and give technical advice and direction
• Experience building, scheduling and maintaining ML pipelines
• Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
• Master or Ph.D in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
• You are proficient in English, knowledge of Dutch and/or French is a plus

 

We streven naar een duurzame omgang met diverse natuurlijke hulpbronnen in een koolstofarme, energiezuinige, klimaatintelligente samenleving.We realiseren een sterke band tussen ecologische, sociale en economische dimensies..

De behandeling van die steunaanvragen en de interactie met ondernemingen gebeurt via één groot digitaal platform.Voor dit dossierbehandelingssysteem zoeken we een enthousiaste product owner.

You will work closely with the product teams, ensuring they have the tools and infrastructure needed to succeed.To provide a clear insight into the team's responsibilities, we would like to divide them into 5 parts:Maintenance & Reliability:Ensure the Data & Analytics platform is highly available, performant, and secure.Monitor, update, and document platform operations regularly to uphold operational excellence.Infrastructure Management:Design, deploy, and manage infrastructure using Infrastructure as Code (e.g., Terraform).Optimize cloud resources and consumption for cost efficiency.Develop and maintain CI/CD pipelines to ensure seamless deployments.Data Operations:Support data scientists, analysts, and users by managing data availability and flow within the broader architecture.Ensure new data flows align with the existing infrastructure and meet business requirements.Platform Optimization:Introduce and implement innovative solutions for scalability and performance.Stay on top of trends in distributed systems, cloud technologies, and best practices for infrastructure management.Knowledge Sharing & Collaboration:Share expertise with the team and organization to foster a culture of learning and continuous improvement.

VDAB gelooft in de kracht van AI voor een meer kwalitatieve en gerichtere dienstverlening.We investeren dan ook in een sterk team data scientists.●. Je werkt mee aan het ontwikkelen van AI algoritmes.

You even so explore new technologies to investigate potential future opportunities.You collaborate with engineering/operations in the development of new production methods and support them with upscaling new formulations and modifications of the raw material.You develop and validate new tests methods to monitor critical to quality (CTQ) parameters and assist Quality Control (QC) in setting up an effective QC program.You support QC in selecting, setting up, modifying, and validating complex lab equipment to meet projects needs.You coordinate lab technicians and technologists and train them in the proper use of the lab equipment.You use statistical techniques to estimate variability and utilize experimental design concepts to map results.You protect Intellectual Property (IP) of newly developed innovative solutions and perform intellectual property mapping for specific projects.You are part of the R&D department Sealants & Adhesives and report to the R&D Team leader.

En tant que Data Scientist, vous jouerez un rôle clé dans le développement et la validation de nos solutions basées sur les données.Vos missions principales seront les suivantes :
Validation et optimisation des modèles de machine learning :

• Développer des protocoles de test rigoureux pour valider la précision des modèles prédictifs.
• Optimiser les performances des algorithmes en ajustant les hyperparamètres.
• Assurer l'intégration efficace des modèles dans l'environnement de production.
• Développer et implémenter des nouvelles techniques d’intelligence artificielle (LLM, Graph.ML, …).

Mentorat et leadership:

• Encadrer les membres juniors de l'équipe en science des données.
• Organiser des ateliers et des sessions de formation continue pour partager les meilleures pratiques et les dernières avancées.
• Contribuer activement à la stratégie de croissance de l'équipe de data science.

Accélération de la maturité analytique de l'entreprise :

• Identifier les opportunités d'amélioration des processus analytiques existants.
• Promouvoir l'adoption de standards élevés en matière de traitement et d'analyse des données.
• Collaborer avec d'autres départements pour intégrer la science des données dans diverses fonctions de l'entreprise.

Innovation et intégration technologique :

• Évaluer et intégrer de nouvelles technologies et outils pour rester à la pointe de l'innovation.
• Piloter des projets de recherche et développement pour explorer de nouvelles méthodologies de traitement des données.

 

Doorgedreven investeringen in R&D, een jarenlange visie van innovatie én aanpassingen aan lokale marktbehoeften legden de basis voor uitstekende prestaties.JobomschrijvingAls R&D Teamleader stuur je een team van een 5 à 6 tal (Sr.) Scientists en Technologists aan binnen een specifieke productgroep (kleefstoffen, acryls, smeltlijmen, tapes en kleefmiddelen (adhesives) op waterbasis.) Je coördineert eveneens op remote basis de R&D activiteiten binnen jouw productgroep in de internationale dochterfirma’s.Je implementeert de R&D strategie en organiseert de dagelijkse activiteiten in functie van de veranderende prioriteiten.

Job inhoud.Je taken kaderen altijd in digitaliseringstrajecten:.

.You are responsible for developing the industrially robust solution for EXISTING technologies and proving the economic value of new production technologies for BC, taking into account operability, safety, food safety, morale, energy, throughput, waste reduction.

● monitoring and report root cause analysis and implemented measures, in case of quality issues;.● interact with the technical product manager and AI engineering daily.