In this position you will build various Artificial Intelligence products for clients together with your team of Junior and Senior Data Scientists. This is done in two different ways: by providing clients with the product they need, and by working in AI laboratories to develop prototypes as part of R&D initiatives. As a Principal Data Scientist, you will take the lead of the projects: you will be the face of the project to clients, and also within the company.
Your responsibilities and impact working as a Senior Data Scientist will be:
- Being the project lead of multiple initiatives
- Defining the data science modeling strategy and advising on the coding approach
- Leading multiple multidisciplinary teams of Data Scientists and Developers and defining the team’s priorities
- Leading daily stand-up meetings and sprint planning sessions
- Managing team capacity
- Resolving conflicts across the functions of the team (DevOps/AI/DB/FE/BE..)
- Interacting with the clients and understanding the challenges they face, their needs, and their data
- 6+ years of experience in Data Science
- 6+ years of experience with Python, experience in R and SQL are a plus. This includes package building, object-oriented programming. APIs, AWS Lambda, and Step Functions are a bonus
- 6+ years of experience in Machine-Learning methodologies
- Minimum C1 level of English
- Experience in leading and planning of multiple projects
- Being able to quickly adapt and work in a fast-paced environment
- Having a background in data science consulting or in product development
- A Master in Data Science or Machine Learning, or AWS Cloud Experience are a bonus
- Flexible working hours
- Hybrid working model: 2 days from the office and 3 days from home
- Working in an international and multidisciplinary team
- Working together with various multinational companies
- Taking project ownership
- Working in a rapidly growing environment
- Private health insurance
- Start date: ASAP
A rapidly growing start-up with offices throughout Europe. Founded in 2020 and now already with a team of 80+. With a team of highly skilled ML Engineers, Data Scientists, and Developers they are pushing the boundaries of innovation.