BizViz Technologies interview questions

Stage 1: HR/Recruiter Screening Call (15–30 minutes) Objective: Assess communication skills, motivation, and culture fit. Questions: Why are you interested in this role? Tell us about a recent data project you worked on. What are your salary expectations and notice period? Stage 2: Technical Assessment (Take-Home or Online Test) Objective: Evaluate coding ability, data wrangling, and problem-solving skills. Format: Could include a case study or dataset analysis with deliverables (code, notebook, and brief report). Typical Tasks: Data cleaning and EDA. Feature engineering. Model building (e.g., regression, classification). Result interpretation and communication. Stage 3: Technical Interview ( 45 minutes) Objective: Deep dive into technical knowledge and approach. Topics: Python, SQL queries, Pandas, NumPy. Machine learning algorithms and model evaluation. Probability, statistics, and hypothesis testing. Business case discussion or live coding. Sometimes includes a whiteboard/diagramming session. Stage 4: Case Study or Business Problem Discussion Objective: Assess analytical thinking and ability to connect technical work to business outcomes. Example Format: Present a problem (e.g., churn prediction or sales forecasting). Ask candidate to explain how they would approach the solution, what data they would need, potential pitfalls, etc. Stage 5: Final Interview / Cultural Fit Objective: Gauge alignment with company values and team dynamics. Interviewers: Team lead, manager Topics: Past experiences and team collaboration. Ethical considerations in data use. Career aspirations and long-term goals.