Candidatei-me por meio de recrutador(a). O processo levou 2 semanas. Fui entrevistado pela MARKT-PILOT (Chicago, IL) em set. de 2023
Entrevista
The interview process for the Data Scientist role at MARKT-PILOT was entirely behavioral and focused on evaluating communication skills, collaboration style, and team fit. It began with an initial screening call with the recruiter, where I was asked about my background, interest in the role, and general qualifications. This was followed by a one-on-one interview with the hiring manager, who asked more in-depth questions about my past experiences, problem-solving approaches, and how I collaborate with cross-functional teams. The final stage involved a panel-style discussion with several team members. Notably, the process did not include any technical assessments or case studies.
Perguntas de entrevista [1]
Pergunta 1
“Why are you interested in this position, and how does your background align with the role?”
They wanted to understand not just my motivation, but also how my past experiences—especially in data analytics, experimentation, and cross-functional collaboration—would enable me to contribute meaningfully to their team. I highlighted my background in applying data science to real-world business problems, and how my skills in SQL, Python, and stakeholder communication made me a strong fit for their fast-paced, product-driven environment.
We had a chat about my experience and my focus on Frontend. He said that he'd pass on my details and what the next stages would be. Unfortunately it seems that they were looking for someone with more of a Full Stack focussed person and I wasn't progressed to the next stage.
Candidatei-me online. O processo levou 3 semanas. Fui entrevistado pela MARKT-PILOT (Berlim) em jan. de 2025
Entrevista
Screening call
Hiring manager interview for 1 hour
Case study sent by email
Case study review done for 1 hour with one tech lead and the hiring manager.
Rejection received by email
Perguntas de entrevista [1]
Pergunta 1
Prioritization techniques
Technical knowledge about web scraping
Stakeholders management