Key Responsibilities:

• Develop and implement machine learning models and algorithms for data analysis and predictive analytics in a cloud environment.
• Leverage cloud platforms such as AWS, Google Cloud, or Azure to build scalable data systems and infrastructure.
• Work with large datasets to perform data cleaning, processing, and transformation tasks.
• Collaborate with data engineers to design and optimize cloud-based data pipelines.
• Apply advanced analytics techniques to extract insights and present findings to stakeholders.
• Optimize cloud resources for performance and cost-efficiency.
• Develop cloud-native solutions for data storage, retrieval, and analysis.
• Monitor and improve data system performance in the cloud environment.
• Stay up-to-date with the latest trends and technologies in data science and cloud computing.
• Assist with data visualization and reporting using tools like Tableau, Power BI, or custom solutions.
• Contribute to the development of data-driven strategies and decision-making processes across the organization.

Qualifications:

• Master’s or Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
• Proven experience as a Data Scientist with a strong understanding of cloud technologies (AWS, Azure, Google Cloud).
• Expertise in machine learning, statistical analysis, and predictive modeling techniques.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with cloud-based data platforms and services, such as AWS S3, Google BigQuery, or Azure Data Lake.
• Strong knowledge of data manipulation, cleaning, and transformation techniques.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Experience with data visualization tools like Tableau, Power BI, or other visualization platforms.
• Ability to work with cross-functional teams to solve complex business problems with data science solutions.
• Strong communication skills with the ability to explain complex concepts to non-technical stakeholders.
• Fluency in both French and English (spoken and written).

Preferred Skills:

• Cloud certifications (AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Azure Data Scientist Associate).
• Experience with containerization technologies like Docker and Kubernetes.
• Knowledge of DevOps practices for cloud infrastructure and data pipelines.
• Familiarity with CI/CD methodologies in a data science environment.
• Experience with data governance, security, and privacy practices in the cloud.

Salary and Benefits:

• Competitive salary range of €55,000 to €75,000 per year, depending on experience.
• Opportunities for career growth and skill development in cloud technologies and data science.
• Access to training, certifications, and industry events to keep skills up to date.
• Flexible working hours and remote work options.
• Comprehensive health insurance, paid vacation, and retirement benefits.
• A collaborative and innovative team environment focused on the latest in cloud-based data science.