Key Responsibilities:

• Conduct original research in the field of data science, including machine learning, artificial intelligence, and statistical modeling.
• Develop novel algorithms, models, and methodologies to solve complex, real-world problems.
• Collaborate with cross-functional teams to understand business problems and translate them into data science research questions.
• Apply advanced data science techniques to extract actionable insights from large datasets.
• Publish research findings in scientific journals, conferences, and industry publications.
• Contribute to the development of data-driven products, services, and solutions.
• Work with data engineers and analysts to ensure the effective implementation of research outcomes into production environments.
• Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.
• Present research findings to internal stakeholders and provide strategic recommendations based on data insights.
• Participate in peer review processes and mentor junior researchers or interns.

Qualifications:

• Master’s or PhD degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, or a related field.
• Strong experience in conducting research, particularly in data science, machine learning, or artificial intelligence.
• Proficiency in programming languages such as Python, R, or Java.
• In-depth knowledge of machine learning algorithms, deep learning, and statistical modeling techniques.
• Experience with data manipulation, analysis, and transformation using tools like Pandas, NumPy, or similar.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying research models is a plus.
• Strong understanding of data visualization techniques and tools (e.g., Matplotlib, Tableau).
• Proven track record of publishing research in peer-reviewed journals or conferences is a plus.
• Ability to work collaboratively in a multidisciplinary research team.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills with the ability to explain complex concepts to non-technical audiences.
• Fluency in both French and English (spoken and written).

Preferred Skills:

• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Knowledge of advanced data science techniques like reinforcement learning or natural language processing (NLP).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Understanding of ethical considerations and responsible AI practices in data science research.
• Knowledge of data governance and privacy policies related to data science applications.
• Familiarity with version control systems like Git.

Salary and Benefits:

• Competitive salary range of €50,000 to €70,000 per year, depending on experience.
• Opportunities to conduct groundbreaking research in the rapidly growing field of data science.
• Access to academic journals, conferences, and workshops to enhance research skills.
• Flexible working hours and remote work options.
• Comprehensive health insurance, paid vacation, and retirement benefits.
• A collaborative, research-driven work environment with a focus on innovation and career growth.