Lead Data Scientist

MEERAB GROUP; Brussel; Sur place; EUR 80 000 - 120 000; Plein temps

Résumé du poste

MEERAB GROUP is seeking a Data Scientist to design advanced analytics solutions, build machine learning and natural language processing models, and drive data-driven insights for business impact.

The role involves collaborating with stakeholders to frame problems as data science hypotheses, developing production-grade data pipelines, and delivering robust models with clear visualisations and dashboards for decision-making.

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 knowledge of 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

PostgreSQL

Python NumPy

Python SciPy

Python Pandas

Python Matplotlib

NodeJs

Confluence

Bamboo

Bitbucket

Airflow

SDMX

Amazon Q/Kiro

R Language

Outils

NodeJs

Confluence

Bamboo

Bitbucket

Airflow

SDMX

Amazon Q/Kiro

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

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