Data Scientist
Data Scientist
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Job Description
Job Title: Data Scientist
Languages Required: Fluent in English and French
Salary: 80000
Extralegal Benefits: Health insurance
Contract Type: Permanent Fulltime
Expected Start Date: October 25 2024
Job Open Since: October 21 2024
Work Location: Hybrid (2 days a week inoffice at Brussels Belgium)
Travel Abroad: No
Open to EU Candidates from outside the jobs location: Yes
Open to NonEU Candidates: No
Job Description
We are seeking an experienced Data Scientist to work on advanced predictive modeling and data analysis projects. The role will focus on solution development data integration and analytics optimization while ensuring compliance with technical standards. If you have a passion for data science and are ready to make an impact in the transportation industry this is a great opportunity to contribute to critical projects in a hybrid work environment.
Key Responsibilities
- Advanced Predictive Modeling & Data Analysis:
Develop and implement advanced predictive models and perform complex data analysis to meet business and technical requirements. Maintain datadriven features and ensure proper documentation of developed solutions. - Solution Development & Implementation:
Collaborate with crossfunctional teams to translate business requirements into actionable data science solutions. Develop and optimize data pipelines and ETL processes to support data integration and analytics. - Compliance & Best Practices:
Ensure that all data science activities adhere to established technical and architectural guidelines. Maintain proper documentation of all developed models and solutions. - Collaboration & Teamwork:
Work within a team of 15 members in the Data & Analytics department. Communicate effectively across technical and nontechnical stakeholders ensuring clear reporting and delivering insights.
Skills & Qualifications
- General Skills:
Experience in the transportation sector is highly desirable. Strong problemsolving abilities customerfocused mindset and excellent communication skills. Ability to work in a virtual team environment. - Technical Skills:
- Proven experience in data science with expertise in 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 like AWS or Microsoft Azure.
- Knowledge of technologies such as Scala Angular Python libraries (Pandas Flask Torchvision) Azure SQL Azure Blob Storage Linux (Ubuntu) Onnx Pytorch and Docker.
- Experience in data engineering and developing data pipelines or ETL processes.
- Expertise in predictive algorithms and analytics particularly in the transportation industry.
- Proficiency in data visualization using tools such as Power BI or similar platforms.
- Certifications:
Certifications in data science and Agile/Scrum methodologies are advantageous. - Behavioral Skills:
- Selfmotivated and able to take initiative.
- Strong teamwork skills able to collaborate with internal teams and external consultants.
- Experience in project management and leadership is a plus.
- Ability to manage multiple projects simultaneously.
Required Skills
- Python: Expert
- Pytorch: Expert
- Scala: Expert
- Azure Blob Storage: Advanced
- Azure SQL Server: Expert
- Docker: Expert
- Linux: Advanced
- Onnx: Advanced
- Angular: Advanced
- Hadoop/Spark: Intermediate
- Power BI: Advanced
Additional Skills (Nice to Have)
- Experience with public transport data is a plus.
- Knowledge of DevOps practices and MLOps for managing data pipelines and models.
- Familiarity with API integration and system interoperability.
Soft Skills
- Curiosity and creativity: Key in exploring new ideas and staying uptodate with industry trends.
- Problemsolving: Analytical thinking to troubleshoot issues and develop datadriven solutions.
- Autonomy: Ability to take initiative and work with minimal supervision.
- Collaboration: Strong interpersonal skills to work with technical and nontechnical teams.
Remote Work :
No
Employment Type
Full Time
