1. What's your background? 2. What' your experience with data management? Give work examples 3. What else do you want to tell me about yourself that you think makes you stands out? (basically what about you is not in your resume?) Bonus question (when I wasn't answering the way the interviewer wanted) - 2. What's your experience in particular to research and survey data? Case Question - A tracking study is being conducted and your Data Scientist (DS) wants to analyze the data to understand the meaningful difference in data from country to country and over time. We are also interested in knowing the cultural impact of the movie. Here are some details about what the team wants to know : - We are analyzing people who watch the same movie title - We want to track how they connect with characters in the movie - We want to track movie enjoyment - How would you ask the DS to analyze this data?
Consumer Analytics Interview Questions
24 consumer analytics interview questions shared by candidates
Mental Math
How would you go about improving the "freshness" problem at DoorDash?
What is random forest? What's the input attribute of the model?
How do you define leadership?
Tell me about yourself question
Tell me a time where you had conflict with your co worker and how did you managed it
SQL - Date manipulation of delivery time, Group by , Ratios/percentage calculation , AVG , Count using CASE , RANK , self Join etc all required
What are the KPI's to measure a video success on You Tube
Tableau questions: 1. Tell me your work experience with Tableau. 2. Difference between twb and twbx ? 3. Data connections with Tableau ? 4. What are the filters in Tableau ? 5. Special visualizations in Tableau ? 6. Displaying N largest observations in Tableau ? 7. Displaying N largest and N smallest observations in Tableau? Generic Questions: 1. Tell me about yourself and your previous work in detail. - Explain features used in the model (Internship project) 2. Why do you want to work in Pharma ? 3. Where do you see yourself in 2, 5 years? 4. Which analytics project steps take most of the time/ most important ? 5. How do you explain about k means algorithm to a stakeholder who doesn't understand data science, to market a drug ? 6. How do you impute missing values in different cases? 7. Where do you use these ml techniques in Pharma ? 8. Are you aware about the job function and clarification on possible role.
Viewing 1 - 10 interview questions