1. Initial Application Review: Candidates submit their CV and complete an online application, which may include a few brief questions about their background and motivation for joining Bending Spoons.
2. Online Assessment: Selected candidates are invited to complete a technical assessment focused on core data science concepts, such as data wrangling, exploratory data analysis, and basic machine learning tasks. The assessment is time-bound and may be completed using tools like Python or R.
3. Technical Interview: This stage involves a live technical interview with a data scientist from the team. Candidates may be asked to solve problems involving statistical analysis, algorithms, and modeling. They are encouraged to think out loud and demonstrate their approach to problem-solving.
4. Case Study Presentation: Candidates work on a take-home data science case study that involves analyzing a dataset and presenting findings, insights, and potential recommendations. This is later discussed in a follow-up session with team members, where the focus is on communication skills, clarity of thought, and technical rigor.
5. Behavioral and Cultural Fit Interview: In this stage, candidates meet with team members or managers to discuss their motivations, career goals, and alignment with Bending Spoons’ values and culture.
6. Final Interview: The last stage is usually a wrap-up conversation with senior leadership or the hiring manager to address any remaining questions, discuss the role, and align expectations.
