Webinar Recap: "People are beyond job titles: Leveraging 'Skills-First' to unlock employee potential"
Watch Now!
Our Data Science test enables recruiters and hiring managers to gauge candidates' knowledge of Data Scientists, Data Science developers, Data Science associates, Data Science analysts, and Data Visualization engineers. This Data Scientist test helps you reduce your hiring time by 45% and improves the interview-to-selection ratio by 62%.
.webp){kind=logo}
Data Science is an interdisciplinary field of processes and systems to extract knowledge or insights from data in various forms, including data analysis fields such as statistics, machine learning, and predictive analysis. It is designed to check analytical and data science methods. It includes methods and theories from different verticals like mathematics, information science, computer science, and statistics.
Data Science online tests help recruiters and hiring managers assess the ability to extract, analyze and interpret data to provide a solution to businesses or support decision-making. Using this assessment, recruiters can assess candidates' skills such as Data Visualization, Machine Learning Techniques, Analytics with R & other tools, Exploratory Data Analysis, Data Manipulation using R, and Regression Analysis.
Two important use cases for Data Science skill test
#1 Identifying job-fit candidates based on job roles
Our subject matter experts customize assessments on the basis of primary and secondary skills, like Data Management Gateway, Deployment, Rest API, and much more. Also, questions can be customized according to the requirement of the job role. With the help of this feature, recruiters can measure a candidate's capabilities in various areas for the job role.
#2 Skill-gap analysis of your employees
This feature enables recruiters to assess the individual skill level of your employees. Utilizing the pre and post-training assessment helps you determine your data science experts' existing and gained knowledge. Our assessments also help to check your organization's overall skills level.
Data Scientist Assessment helps you to screen the traits below:
In order to help you assess the technical and non-technical skills of data science skills of candidates, we offer various data science tests. All data science skills assessments are prepared by SMEs based on their industry experience. For example, only Data Science experts create questions based on regression analysis, azure data factory, and more.
.webp)
.webp)
.webp)
Data Science is the method of identifying hidden patterns from raw data. In order to do so, data scientists utilize a set of numerous tools, machine learning principles, and algorithms on structured and unstructured data. They also crack complex data problems to make insightful business decisions and predictions.
The data used by data scientists are usually a collection of data gathered from various resources and compiled in a structured format to make an insightful decision. Hence, data science analytics is the collection of candidate data arranged logically to help recruiters with predictive power and more accurate insight into candidates' skills.
Explore the strategy to recruit data scientists in 2023.
Yes, iMocha enables you to custom-create your assessments according to the requirements of your organization. For example, you can personalize your Data science analytics test by combining it with other related technical and non-technical skills. For example, you can combine Azure Data Factory, Big Data, Data Scientist with Python, Data Analytics Excel, communication test questions, etc.
Some of the common certifications preferred for Data Science analytics roles are:
• Microsoft Certified: Azure AI Fundamentals
• SAS Certified Advanced Analytics Professional using SAS 9
• Open Certified Data Scientist (Open CDS)
• Microsoft Certified: Azure Data Scientist Associate
• SAS Certified AI and Machine Learning Professional
• Tensorflow Developer Certificate
• SAS Certified Data Scientist
Here are a few important questions that you can ask data scientists:
• Which technique will you use to predict categorical responses?
• Can you use machine learning for time series analysis?
• Explain what precision and recall are. How do they relate to the ROC curve?
• What are the similarities and differences between R and Python?
• How is logistic regression done?
• Do you know how to make an R decision tree?
• How do you build a random forest model?
• What are your favorite data visualization tools?
• How to clean up and organize big data sets?
• What were the business outcomes or decisions for the projects you worked on?
Check out our curated list of data science interview questions that will help you assess candidates' technical skills and find the perfect fit for your team.
Some of the common roles and responsibilities of a Data scientist are:
• Analysis of the structured and unstructured amounts of data
• Creation of strategies and solutions for business problems
• Data strategy development with leaders and team members
• Data presentation using different data visualization tools and techniques
• Using valuable data sources to mine them for useful information
• Using tools for machine learning to choose features, build, and improve classifiers
• Preprocessing both structured and unstructured data, as well as improving data gathering processes to incorporate all pertinent data needed to create analytical systems
• Preparing, extracting, and verifying data integrity for analysis
• Finding patterns and solutions through the analysis of a lot of data
You can consider these technical as well as soft skills while hiring great data scientists:
Primary Skills
• Fundamentals of Data Science
• Statistics
• Programming knowledge
• Data Manipulation and Analysis
• Data Visualization
• Machine Learning
• Deep Learning
• Big Data
Soft Skills
• Communication Skills
• Storytelling Skills
• Structured Thinking
• Curiosity
A data scientist package varies depending on the company's role, location, and requirements. However, the average pay of a data scientist in the US is $124,693 per year.
