Job Description
For this role, we are looking for a candidate with at least five years of professional experience in the field of data science. A PhD in computer science, statistics, mathematics or a relevant field is also required. This experience and academic background should include deep practical expertise in advanced machine learning and data analysis techniques.
Responsibilities
- Develop rigorous testing protocols to validate the accuracy of predictive models.
- Optimize algorithm performance by adjusting hyperparameters.
- Ensure efficient integration of models into the production environment through API developments.
- Develop and implement new artificial intelligence techniques (LLM, GraphML, etc.).
- Supervise junior/medium members of the team in data science.
- Organize workshops and continuing education sessions to share best practices and the latest advances.
- Actively contribute to the growth strategy of the data science team.
- Identify opportunities for improving existing analytical processes
- Promote the adoption of high standards in data processing and analysis.
- Collaborate with other departments to integrate data science into various functions of the business.
- Evaluate and integrate new technologies and tools to stay at the forefront of innovation.
- Lead research and development projects to explore new data processing methodologies.
Skills Required
- Ability to interpret complex datasets and extract relevant insights from them
- Machine learning algorithms (classic ML, DL, LLM, GraphML).
- API development (FastAPI,…)
- Cloud services
- Frameworks machine learning (TensorFlow, Scikit-learn, …)
- Linux
- MLOPS
- Visualization tools
- Python, Java or other programming languages commonly used in data analysis
- SQL
- Versioning system (Git)
Languages
- English
- French
- Dutch
Hiring Team Member
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