Senior Data Scientist Skills Test Overview
Senior data scientists are project leaders who drive data-driven insights with business stakeholders to create a roadmap for revenue growth. They are involved in the application of Machine Learning, statistical methods, and exploratory analysis for extracting insights from data
You can use these sample questions to assess a candidate’s fit for the senior data scientist role before hiring them. Feel free to make use of them or even modify them as per the hiring need.
Expected Skills
- Pick the right kind of statistical models like logistic regression or xgboost
- Experience in using the right kind of metrics like accuracy or F1-score
- Standardize data through data ingestion, EDA, API endpoints
- Optimize data-based parameters through random search or Bayesian optimization algorithms
Test Category
Type – Multiple Choice Questions
Time – 10 mins
Language – English
Level – Entry
Difficulty – Easy
Test Questions
- ______ is the most important language in Data Science
- Ruby
- Python
- R
- Java
- None of these
- ______ is not a tool for Statistical Data Analysis
- Logistic Regression
- ANOVA
- Histogram
- Linear & Non-linear Regression
- None of these
- ______ is the graphical representation of a data set
- Visualization
- Investigative cycle
- Data set
- Interpretation
- None of these
- ______ is outside the data trend
- Outlier
- Trend
- Spike
- Both 1 & 2
- None of these
- ______ is not a machine-learning algorithm
- SVG
- SVM
- Random Forest
- Both 1 & 2
- None of these
Who should take the test?
Candidates for the senior data scientist role should be experienced in a range of data optimization tools, statistical modeling, coding languages, and data-based outcomes.
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Discover Hiring Resources for Senior Data Scientists
- Hiring a Senior Data Scientist
- Senior Data Scientist Job Description
- Senior Data Scientist Interview Questions
- How to Hire a Senior Data Scientist
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