Application: Submit your materials online.
Screening: Initial assessment of qualifications.
First-Round Interview: Meeting with a recruiter or manager.
Skills Assessment: Tests or challenges related to the job.
Further Interviews: Multiple rounds with team members or executives.
Behavioral Interviews: Assessing your past behavior.
Final Interview: Meeting top-level management.
Reference Check: Verification of information.
Job Offer: Details about the position.
Onboarding: Integration into the company.
Interview questions [1]
Question 1
Describe a Machine Learning Project You've Led:
This question helps gauge your practical experience and understanding of the end-to-end process, including problem framing, data collection, model selection, evaluation, and implementation.
How Do You Handle Data Cleaning and Preprocessing?
Demonstrates your expertise in handling real-world data, identifying missing values, outliers, and ensuring data quality before analysis.
Explain a Complex Statistical Concept in Layman's Terms:
Assesses your ability to communicate technical concepts to non-technical stakeholders, indicating your capacity to bridge the gap between data science and business objectives.
Walk Us Through Your Approach to Feature Selection:
Highlights your knowledge of selecting relevant features and reducing dimensionality, showcasing your ability to improve model performance and interpretability.
Discuss Ethical Considerations in Data Science:
Shows your awareness of ethical implications in data collection, analysis, and model deployment, indicating your commitment to responsible and unbiased data practices.
I applied online. I interviewed at IBM (Strasbourg)
Interview
1er entretien RH assez concis avec une présentation rapide de mon parcours
2nd entretien technique avec Manager des équipes data de Lille et Strasbourg : présentation de mon parcours puis question sur une problématique donnée (liée au domaine bancaire)
3eme entretien technique ; présentation et question autour de l'IA générative
Interview questions [1]
Question 1
Quelles sont les métriques pour jauger les performances d'un LLM ?
"The company provided a fixed interview slot without any room for flexibility. As soon as I responded to ask if we could reschedule for a different date and time, the system automatically triggered a rejection email. It seems their automated process drops candidates who cannot make the initial slot.
Quiet straight forward, but unfortunately got rejected even afer passing all unit tests with same old saying that other candidates are better aligned at the moment for this specific role demands.
