Data Scientist

MEERAB GROUP; Brussel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

MEERAB GROUP seeks a Data Scientist to design advanced analytics solutions and develop machine learning and natural language processing models that drive data-driven business impact.

The role emphasizes collaboration with stakeholders to frame problems as data science hypotheses, build production-grade data pipelines, and monitor data accuracy, while delivering interpretable dashboards and robust regulatory-compliant processes.

Qualifications

• 10 years of expertise in using Python
• 10 years of expertise in using SQL
• 10 years of expertise in using Oracle or PostgreSQL
• 5 years of expertise in using Python NumPy
• 5 years of expertise in using Python SciPy
• 5 years of expertise in using Python Pandas
• 5 years of expertise in using Python Matplotlib
• 5 years of expertise in using NodeJs
• 5 years knowledge of Confluence, Bamboo Bitbucket
• 3 years of expertise in using Airflow
• 2 years of expertise in using SDMX
• 6 months of expertise in using Amazon Q/Kiro
• 1 year of expertise in using R Language

Responsabilités

• Collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions.
• Develop processes to monitor and analyse data accuracy.
• Identify, collect and prepare data for analysis, collaborating with Data Analysts to ensure robust production-grade data pipelines, with a focus on feature engineering and data readiness for modelling.
• Produce data models according to specific problem statements.
• Develop and implement machine learning algorithms, statistical models and scripts to solve specific business problems.
• Collaborate with Data Analysts and Architects on the design of the analytics architecture to ensure it supports the scalability and performance requirements of data science models.
• Write the different documentation associated with the tasks and liaise with other teams as necessary to address cross-system interdependencies.
• Develop visualisations to communicate model behaviour, key insights and performance metrics, and collaborate with Data Analysts on integrated dashboard reporting.
• Design, develop and evaluate predictive models capable of handling both structured and unstructured data, including model selection, training and hyperparameter tuning.
• Elaborate processes to ensure the compliant implementation of regulatory frameworks, including model risk management, monitoring for drift and bias, and comprehensive documentation.
• Ensure that model development, deployment and monitoring practices adhere to all relevant regulatory frameworks and internal governance polici

Connaissances

Python

SQL

Oracle or PostgreSQL

Python NumPy

Python SciPy

Python Pandas

Python Matplotlib

NodeJs

R Language

Outils

Confluence

Bamboo

Bitbucket

Airflow

SDMX

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

• Collaborate with stakeholders to collect requirements, frame business problems as
• data science hypotheses, define success metrics, and develop or deploy advanced data
• mining and machine learning solutions.
• Develop processes to monitor and analyse data accuracy.
• Identify, collect and prepare data for analysis, collaborating with Data Analysts to
• ensure robust production-grade data pipelines, with a focus on feature engineering and
• data readiness for modelling.
• Produce data models according to specific problem statements.
• Develop and implement machine learning algorithms, statistical models and scripts to
• solve specific business problems.
• Collaborate with Data Analysts and Architects on the design of the analytics
• architecture to ensure it supports the scalability and performance requirements of data
• science models.
• Write the different documentation associated with the tasks and liaise with other
• teams as necessary to address cross-system interdependencies.
• Develop visualisations to communicate model behaviour, key insights and
• performance metrics, and collaborate with Data Analysts on integrated dashboard
• reporting.
• Design, develop and evaluate predictive models capable of handling both structured
• and unstructured data, including model selection, training and hyperparameter tuning.
• Elaborate processes to ensure the compliant implementation of regulatory
• frameworks, including model risk management, monitoring for drift and bias, and
• comprehensive documentation.
• Ensure that model development, deployment and monitoring practices adhere to all
• relevant regulatory frameworks and internal governance polici

Mandatory Required Qualifications

• 10 years of expertise in using Python
• 10 years of expertise in using SQL
• 10 years of expertise in using Oracle or PostgreSQL
• 5 years of expertise in using Python NumPy
• 5 years of expertise in using Python SciPy
• 5 years of expertise in using Python Pandas
• 5 years of expertise in using Python Matplotlib
• 5 years of expertise in using NodeJs
• 5 years knowledge of Confluence, Bamboo Bitbucket
• 3 years of expertise in using Airflow
• 2 years of expertise in using SDMX
• 6 months of expertise in using Amazon Q/Kiro
• 1 year of expertise in using R Language