Senior data scientist

Perfil buscado (Hombre/Mujer)

• Understand a business requirement and design an ML approach to solve the challenge effectively
• Define which is the technology to use in each part of the pipeline (SQL, Python, EC2, AWS, Lambda, crontab, …)
• Lead a small team of data scientists towards the development of a feature for the application.
• Own the delivery of a business requirement
• Ensure coding best practices in the development and mentor junior data scientists in coding standards
• Validate and approve Pull Requests
• Ensure the Quality of the deliverables of your own and others
• Interact with other functions and agree data exchange protocols (DevOps, Front End, Database, backend, …)
• Define strategies for the use of data and how data use interacts with data design
• Lead an AI laboratory performing discovery tasks and developing AI products

• Join a +100 super motivated ML Engineers, data scientists and developers.|AI products, AI Laboratory, work flexibility and fun and agile environment.
• 4 to 6 years of experience in data science
• >4 years of experience with data programming/ scripting languages (Python, R, SQL).
• Including package building, object-oriented programming. Bonus: APIs, AWS Lambda, Step
• functions, …
• >4 years of experience in machine-learning methodologies (supervised /unsupervised, deep
• learning)
• Experience using cloud technologies
• Experience working with multi-disciplinary teams
• Experience working with Agile Methodology (Jira, stand ups, sprint planning, …)
• Experience in project planning
• Experience in communicating technically, at a level appropriate for the audience
• Ability to work in a fast pace and learn quickly
• (Bonus) Master in Data Science /Machine Learning
• (Bonus) AWS Cloud experience/ exposure


Develop digital AI products that are easy to integrate. Believe in challenging the status quo and empowering business with meaningful AI.

• Internationally diverse team.
• We develop high-quality software and thus create sustainable added value for our customers
• We live a feedback culture so that we can constantly reflect and improve
• Flexible remote work.
• We enjoy new technologies and love to learn new things and grow with them
• We give freedom for further training because lifelong learning is important to us