Data Scientist (STIB-PU_2024_022)

Key Responsibilities:

1. Advanced Predictive Modeling & Data Analysis:
   • Develop and implement advanced predictive models and perform complex data analysis to meet functional or technical needs.
   • Create and maintain new data-driven features in line with the technical and architectural standards set by STIB.
   • Ensure ongoing maintenance and updates of the developed solutions while adhering to organizational documentation standards.
2. Solution Development & Implementation:
   • Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
   • Develop and optimize data pipelines and ETL processes to support data integration and analytics.
   • Contribute to the continuous improvement of the data science framework, identifying areas for innovation and optimization.
3. Compliance & Best Practices:
   • Ensure all data science and engineering activities follow established technical and architectural guidelines.
   • Maintain proper documentation of all developed models and solutions in accordance with the company’s standards.
4. Collaboration & Teamwork:
   • Work closely within a team of 15 members in the Data & Analytics department and collaborate with other internal and external teams, including virtual team environments.
   • Communicate effectively across technical and non-technical stakeholders, ensuring clarity in reporting and delivering insights.

Skills & Qualifications:

1. General Skills:
   • Experience in the transportation sector is highly desirable.
   • Proactive, solution-oriented mindset with a strong focus on customer satisfaction and results.
   • Creative problem-solving abilities with excellent communication skills.
   • Comfortable working in a virtual team and adapting to a dynamic work environment.
2. Technical Skills:
   • Proven experience in data science, with expertise in advanced statistical techniques and machine learning models.
   • Proficiency in Python or R for data analysis.
   • Experience with big data platforms such as Hadoop or Spark, and familiarity with cloud environments likeAWS or
     Microsoft Azure.
   • Knowledge of technologies such as Scala, Angular,Python libraries (Pandas, Flask, Torchvision, etc.),
     Azure SQL,Azure Blob Storage, Linux (Ubuntu),
     Onnx,Pytorch, Docker.
   • Experience in data engineering and developing data pipelines or ETL processes.
   • Expertise in predictive algorithms and analytics, particularly in the transportation industry.
   • Experience in data visualization using tools such as Power BI or similar platforms.
   • Experience with public transport data is a plus.
3. Certifications:
   • Certifications in data science are advantageous.
   • Certifications in Agile and Scrum methodologies are a plus.
4. Behavioral Skills:
   • Self-motivated with the ability to take initiative.
   • Experience in project management and team leadership is a plus.
   • Ability to manage multiple projects or incidents simultaneously.
   • Strong teamwork skills, capable of collaborating with internal teams and external consultants.

Connaissance des langues

• Français ou Néerlandais : excellent
• Seconde langue Français ou néerlandais : bon
• Anglais : bon