A data scientist channelizes the opportunities presented by data. High-ranking professionals make discoveries while swimming in data. With the fundamental skill of writing data to testing hypotheses to reduce losses, a data scientist literally converts a mass of unstructured data into a revenue gold mine.
Evaluate the potential candidate's data science tool kit with our nuanced Data Scientist Interview Questions. Glide on.
Job-specific Questions for Data Scientist
- Which models would you characterize as complex models, and which ones as simple? Mention the relative strengths and weaknesses
- What are the different steps that you follow to pre-process the data before using it to train a model and under what conditions these steps can be applied?
- How do you predict categorical responses?
- Explain dimensional reduction and state the best ways to perform this.
- What is the use of Combinatorics in data science?
- What is regularization and how is it useful?
- What do you understand by price elasticity, price optimization, competitive intelligence, and inventory management? Explain with examples.
- Define confidence interval and its benefits.
- State the difference between correlation and statistical independence.
- Are you familiar with time-series models? What is your understanding of cross-correlations with time lags?
How can Glider AI help you with Hiring a Data Scientist?
Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process.
Glider AI's Unique Features
- Conversational Chatbot for Talent Screening
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Discover Hiring Resources for Data Scientists
- Data Scientist Job Description
- Data Scientist Skills Test
- How to hire a Data Scientist
Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Data Scientist role.
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