• Participate in the entire lifecycle of data science projects, from problem definition to solution delivery, and maintenance. 
• Develop, test, and evaluate data hypotheses, methods, and models using appropriate techniques and tools. 
• Collaborate with engineers to implement scalable and robust data pipelines and systems. 
• Stay updated on the latest research and trends in data science. 
• Analyze client data and business needs to identify opportunities and propose data-driven solutions. 
• Communicate and present your findings and recommendations to clients and stakeholders clearly and effectively. 
• Lead data science projects as well as provide guidance/mentorship to junior data scientists. 

• Be fluent in English. 
• Have a bachelor’s degree in Computer Science, Applied Mathematics, or related fields. 
• Be proficient in Python (numpy, pandas, tensorflow/pytorch) and SQL. 
• Have at least 5 years of industrial experience in NLP and/or Machine Learning (tabular data). 
• Be good at communication and presentation: able to communicate with non-tech stakeholders to understand business as well as present  technical solutions. 
• Have excellent problem-solving skills. 
• Be self-motivated and eager to learn new technologies. 

Nice to have: 

• Have experience in leading data science team. 
• Experience in Big Data, cloud (AWS, Google Cloud, Azure). 
• Familiar with working with Agile process. 
• A deep understanding of a specific domain or industry vertical (insurance, logistics,…). 
• Experience in Solution Design.