19 jobs voor data scientist machine learning gevonden

Are you passionate about data-driven platforms, machine learning models, and innovative applications?As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries.Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience.For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client.

Key Responsibilities:

• Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
• Data Management: Gather, prepare, and manage data for analysis.
• Model Research: Investigate and select appropriate machine learning models.
• ML Modeling: Develop and refine machine learning models.

• Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.

   

Job Description

As a Senior Data Scientist, you will build and share knowledge with your colleagues.With initiatives like our knowledge sharing sessions, you have various chances to bond and exchange ideas with colleagues, and keep up to date with the latest developments in the field.

You love working with data and are an expert in developing and implementing various statistical and machine learning.You will work in a multidisciplinary team, including data engineers, cloud architects, analysts,

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

Do you like to collaborate with data scientists and engineers?

Engineers and data scientist work together to build mathematical and statistical models to simulate how machines work and components degrade.

These “digital twins” help us to improve machine design and maintenance.

After creation, these models need to be deployed on large scale with high reliability.Within the cloud native development team your focus will be on developing, deploying and maintain programs to execute predictive maintenance.

What skills can you bring to our team?

In this position various skills will be applied, and it will be helpful if you have experience in cloud programming, container technologies such as

Docker and Kubernetes or designing APIs and are familiar with the Dev.Ops and Infrastructure development life-cycle.

Besides bringing a skill set to our team, we look for team members that are curious and willing to learn and deepen their skills.

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.