Technical Questions: 1. Difference between Logistic Regression and Multiple Linear Regression 2. How do you handle overfitting? 3. Data Cleaning Process 4. Primary key and Foreign key in SQL 5. Asked me to write one simple SQL query 6. Define Distribution in functional terms Behavioral Questions: How do you handle a conflict at workplace Where do you want to see yourself in 5 years Preferred management styles etc
I had a 45-minute technical interview with a Senior Data Scientist consultant. The session included three SQL questions and one Python question, focused on sales transactions and data manipulation. One point of friction was that the interviewer asked me not to use window functions and instead pushed for a GROUP BY solution. While I adapted under pressure, I felt the conversation was more rigid than collaborative. Overall, the process was structured and timely, but I would have appreciated more flexibility in the problem-solving approach — especially for senior-level candidates who may use different methods to arrive at the correct solution.
Case study on Miscellenious data
Caso real relacionado con la ciencia de datos.
Programming questions, like leetcode ones
Question in English on one technical topic to test the language level.
Des questions techniques ont été posées lors de l'entretien "étude de cas" concernant l'utilisation de l'API et l'analyse en composantes principales (PCA).
Questions classiques: pourquoi SIA, le conseil, etc... Partie technique: cas d'étude, questions sur des méthodes usuelles dans le ML.
Use Case sur un cas pratique, grand retailer, questions sur les features à choisir, le modèle à utiliser etc
Le site de Sia Partners décrit le contenu de chacun des 4 entretiens.
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