Key Responsibilities:

• Lead and manage a team of data scientists to deliver data-driven solutions and insights.
• Develop and implement data science strategies that align with the organization’s goals and objectives.
• Oversee the design and execution of advanced analytics projects, including machine learning, predictive modeling, and statistical analysis.
• Collaborate with stakeholders across business units to understand their needs and deliver actionable insights.
• Mentor and coach data scientists, providing guidance on techniques, methodologies, and career development.
• Develop and maintain machine learning models, ensuring their scalability, efficiency, and accuracy.
• Manage and prioritize multiple projects, balancing the needs of the business with the capabilities of the data science team.
• Communicate data science findings and recommendations to non-technical stakeholders in a clear and impactful manner.
• Stay updated on the latest trends in data science, AI, and machine learning, and apply them to business challenges.
• Foster a culture of innovation, collaboration, and continuous learning within the data science team.
• Ensure proper documentation of models, processes, and methodologies used in the team’s projects.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a data scientist, with a strong track record of leading data science teams.
• Experience required is 5 to 8 years.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python, R, or similar.
• Strong knowledge of data manipulation and analysis tools (e.g., Pandas, NumPy, Scikit-learn).
• Experience with big data platforms (e.g., Hadoop, Spark) and cloud computing environments (AWS, Google Cloud, Azure).
• Experience with data visualization tools (e.g., Tableau, Power BI, D3.js).
• Familiarity with data engineering principles and ETL processes.
• Strong problem-solving skills and the ability to work with complex datasets.
• Excellent communication skills, with the ability to present complex findings to non-technical audiences.
• Proven ability to manage multiple projects and deadlines effectively.
• Strong leadership and mentoring skills, with the ability to inspire and guide a team.
• Fluency in English (Luxembourgish, French, or German is a plus).

Preferred Skills:

• Experience with advanced machine learning techniques (e.g., deep learning, NLP, reinforcement learning).
• Familiarity with Agile methodologies and project management tools (e.g., Jira, Asana).
• Knowledge of business strategy and the ability to align data science initiatives with organizational goals.
• Industry certifications in data science or machine learning (e.g., AWS Certified Machine Learning, Microsoft Certified: Azure AI Engineer).

Salary and Benefits:

• Competitive salary depending on experience.
• Health insurance and pension contributions.
• Opportunities for career development, training, and certifications.
• Flexible working hours and remote work options.
• A dynamic and innovative work environment.
• Generous vacation and paid time off.
• Career advancement opportunities within a growing company.