Data Scientist

Appsierra Group; Brussel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Appsierra Group is seeking a Data Scientist to design advanced analytics solutions, build ML and NLP models, and drive data-driven business insights. You will create scalable data pipelines, engineer training data via ETL, and validate models with rigorous experiments.

You will collaborate with cross-functional teams, present findings to stakeholders, and help translate business problems into sophisticated data science solutions.

Qualifications

• 3+ years of experience in data science or analytics.
• Strong knowledge of advanced analytics, machine learning, and NLP.
• Proficiency in programming languages commonly used for modeling (Python, R, etc.).
• Experience with MLOps practices and model reproducibility.
• Familiarity with ETL, data engineering, and scalable data storage technologies.
• Excellent presentation and stakeholder communication skills.

Responsabilités

• Design and implement data-driven solutions using advanced analytics techniques.
• Build predictive models and text-based models leveraging ML and NLP.
• Develop and maintain reproducible ML pipelines following MLOps practices.
• Prepare and engineer training datasets via ETL processes and data engineering.
• Architect scalable data storage solutions for AI workloads.
• Validate models through experimental design and hypothesis testing.
• Visualize and communicate model outputs using BI tools.
• Collaborate with cross-functional teams to translate business problems into DS solutions.

Connaissances

Experience in data science/analytics

Advanced analytics, ML, NLP

Python, R modeling

MLOps and reproducibility

ETL and data engineering

Data storage for AI

Presentation and stakeholder comms

Outils

Python

R

Description du poste

We are seeking a Data Scientist to join our team. The role focuses on designing advanced analytics solutions, building machine learning and natural language processing models, and driving data-driven insights for business impact.

Key responsibilities

• Design and implement data-driven solutions using advanced analytics techniques.

• Build predictive models and text-based models leveraging machine learning and NLP.

• Develop and maintain reproducible ML pipelines following MLOps practices.

• Prepare and engineer training datasets via ETL processes and data engineering.

• Architect scalable data storage solutions for AI workloads.

• Validate models rigorously through experiment design and hypothesis testing.

• Visualize and communicate model outputs using business intelligence tools.

• Collaborate with cross-functional teams to translate business problems into data science solutions.

Required qualifications

• 3+ years of experience in data science or analytics.

• Strong knowledge of advanced analytics, machine learning, and NLP.

• Proficiency in programming languages commonly used for modeling (Python, R, etc.).

• Experience with MLOps practices and model reproducibility.

• Familiarity with ETL, data engineering, and scalable data storage technologies.

• Excellent presentation and stakeholder communication skills.

Nice to have

• Experience in economic and financial domain analysis.

• Ability to participate in multilingual meetings and work in multicultural environments.

• Knowledge of AI frameworks and new algorithm exploration.