BE - Senior Data Science Engineer
Collaboration Betters the World —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Doctoraat
Data Scientist - McKinsey Transformation
McKinsey & Company —Brussel
- Computerwetenschappen
- Doctoraat
- Informatica
BE - Data Scientist
Collaboration Betters the World —Brussel
- Voltijds
- Machine learning
- Artificiële intelligentie
Data Engineer Senior
Extia —Bruxelles Auderghem
- Engels
- Java
- AWS
Responsable projets Data BI - CDI - Belgique - Bruxelles
PROPULSE IT —Brussel
- € 70.000 - € 77.000 per jaar
- Thuiswerk
- Engels
- Master
- SQL
5 dagen
BI Developer - Brussels
Growin —Brussel
- Voltijds
- Azure
Consultant in Data Science
Sia —Brussel
- Voltijds
- Hybride werken
- Master
- Machine learning
- ICT
Snel solliciteren
Data & AI Science Consultant
Accenture —Brussel
- Voltijds
- Azure
- Verkoopervaring
- Engels
Data Engineering Manager - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
Data Science and AI Expert
Sopra Steria —Brussel
- Voltijds
- Azure
- Engels
- Master
Snel solliciteren
AI & Data Engineer
iO —Brussel
- Hybride werken
- Azure
- Java
- Master
Senior Data Engineer - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
Ingénieur Cloud Data (H/F/X)
Kumoo —Brussel
- Computerwetenschappen
- Azure
- Engels
Google Senior Data Engineer
Devoteam G Cloud Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Engels
- Java
- Tankkaart
Snel solliciteren
Data Scientist - Banking
NORRIQ —Brussel
- Hybride werken
- Machine learning
- Python
Snel solliciteren
Intelligence DevOps Engineer (F/M/X)
EGOV Select —Evere
- Voltijds
- Tweetalig
- Doctoraat
- Informatica
MISP Data, Engineering and DevOps Support
Vector Synergy —Brussel
- Linux
- Python
Snel solliciteren
SAS ETL developer
FalconSmartIT —Brussel
- Master
- SQL
- Analytisch vermogen
Snel solliciteren
Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
SAP Middleware Engineer
Wibit Consulting & Services (WibitCS) —Brussel
- Voltijds
- Thuiswerk
- Engels
- SQL
- JavaScript
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in waterloo, wal

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en privacybeleid.

BE - Senior Data Science Engineer

Collaboration Betters the World -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds

Kwalificaties

Frans
TensorFlow
Computerwetenschappen
Azure
Doctoraat
Informatica
Kubernetes
PyTorch
Computervisie
Spark
R
Engels
Google Cloud Platform
Java
Master
SQL
AWS
Docker
Machine learning
Scala
Deep learning
NLP
Softwareontwikkeling
Agile
Kafka
Data science
Oplossingsarchitectuur
Artificiële intelligentie
Managementervaring
Communicatieve vaardigheden
Datawarehouse
Python

Volledige vacaturetekst

BE - Senior Data Science Engineer

Location Belgium, Brussels

Overview

Overview

We are seeking a highly skilled and experienced Senior Data Science Engineer to join our "Data & AI" service line at CBTW. In this role, you will play a critical role in designing, implementing, and deploying advanced data science and machine learning solutions for our European clients. You will work at the intersection of data engineering, machine learning, and software engineering to deliver scalable, production-ready AI solutions.

You will lead end-to-end data science projects, from problem definition and data exploration to model development, deployment, and monitoring. You will collaborate with cross-functional teams including data engineers, software engineers, and business stakeholders to create innovative AI-driven solutions that deliver measurable business value. As a senior member of the team, you will also mentor junior data scientists and drive best practices in MLOps and model lifecycle management.

Responsibilities

Key Responsibilities

Data Science and Machine Learning

Design and develop advanced machine learning models for various use cases including predictive analytics, recommendation systems, natural language processing, and computer vision
Conduct thorough data exploration and analysis to identify patterns, trends, and insights
Implement feature engineering and selection techniques to optimize model performance
Ensure model interpretability and explainability for business stakeholders

MLOps and Model Deployment

Design and implement end-to-end MLOps pipelines for model training, validation, and deployment
Establish automated model monitoring and retraining workflows
Implement A/B testing frameworks for model performance evaluation
Ensure models meet production requirements for scalability, latency, and reliability

Data Engineering and Infrastructure

Collaborate with data engineers to design and optimize data pipelines for ML workloads
Implement data quality validation and monitoring systems
Work with cloud platforms (AWS, Azure, GCP) to deploy scalable ML infrastructure
Utilize big data technologies (Spark, Kafka, etc.) for large-scale data processing

Solution Architecture and Design

Design scalable and robust data science solutions that align with business requirements
Architect real-time and batch inference systems for production deployment
Implement best practices for model versioning, experiment tracking, and reproducibility
Ensure solutions follow security and compliance requirements

Leadership and Collaboration

Lead cross-functional project teams including data scientists, engineers, and business stakeholders
Mentor junior data scientists and promote knowledge sharing within the team
Collaborate with clients to understand business requirements and translate them into technical solutions
Drive innovation and adoption of new tools, techniques, and methodologies

Qualifications

Required Skills and Experience

Technical Skills

Machine Learning: Deep expertise in supervised and unsupervised learning, deep learning frameworks (TensorFlow, PyTorch), and model optimization techniques
Programming: Strong proficiency in Python and/or R, with experience in SQL and knowledge of additional languages (Java, Scala) as a plus
Data Engineering: Experience with data pipeline tools (Airflow, Prefect), big data technologies (Spark, Kafka), and data warehousing concepts
MLOps: Hands-on experience with MLOps tools (MLflow, Kubeflow, Sagemaker) and model deployment strategies (Docker, Kubernetes)
Cloud Platforms: Proficiency with cloud-based ML services (AWS SageMaker, Azure ML) and infrastructure management
Statistical Analysis: Strong foundation in statistics, experimental design, and hypothesis testing
Agentic AI: Interest or experience with agentic Artificial intelligence frameworks and multi-agent systems (LangChain, AutoGen, CrewAI, etc.) is a plus

Experience

Minimum of 5 years of experience in data science and machine learning, with at least 2 years in a senior or lead role
Proven track record of deploying machine learning models in production environments
Experience with end-to-end data science project delivery in enterprise environments
Strong understanding of software development best practices and agile methodologies

Soft Skills

Excellent communication skills, both written and verbal
Fluent in French and English (required)
Able to travel in Europe for client engagements and project delivery
Strong problem-solving abilities and analytical mindset
Ability to translate complex technical concepts for business stakeholders
Leadership experience with cross-functional teams

Preferred Qualifications

Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or related field
Experience with specific industry domains (finance, healthcare, retail, etc.)
Knowledge/experience with Databricks, Azure Fabric, or IBM Watson X (a plus)
Publications in peer-reviewed conferences or journals
Certifications in cloud platforms (AWS Certified Machine Learning, Azure Data Scientist Associate, etc.)

#LI-YM1

Nu solliciteren

Verfijn je zoekopdracht

data engineer vacatures in waterloo, wal