Our Online Data Science test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for roles such as Data Scientist, Data Science Developer, Data Science Associate, Data Science Analyst, and Data Visualization Engineer. This Data Scientist test reduces hiring time by 45% and improves the interview-to-selection ratio by 62%.
DData 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 the analytical and data science methods. Data science 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. Data science assessment requires applicants to solve questions on Data Visualization, Machine Learning Techniques, Analytics with R & other tools, Exploratory Data Analysis, Data Manipulation using R, and Regression Analysis.
#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 job role. It will help recruiters measure a candidate’s capabilities in various areas for the job role.
#2 Skill-gap analysis of your employees
An individual’s skill level can be assessed with pre-and post-training assessments. These assessments show the growth of learners. Our skill platform is integrated with legacy LMS and Data Science assessments assist to perform skill gap analysis. Our Data Science assessments and questionnaire are easy to customize.
Data Scientist Assessment helps you to screen the traits below:
- Excellent R data manipulation handling skills
- Analytics with R tools, python & machine learning techniques
- Understanding linear and non-linear regression models
- Strong knowledge of different statistical concepts
- Doing ad-hoc analysis and presenting results in a clear manner
- Ability to perform exploratory data analysis & regression analysis
- Data mining skills using state-of-the-art methods
- Experience with data visualization tools
Test Creation Process
Assessments are brilliant methods to assess candidates’ specific skills. All data science skills assessments are prepared by SMEs based on their industry experience. For example: Questions based on regression analysis, azure data factory are created by Data Scientist.
Test Customization
Data science test contains the latest and quality set of questions crafted by industry experts to cope with recent technological developments. You can also create a customized test according to your job role. For example, if you need to assess only data visualization skills of candidates, then send us an email, and our support team will deliver customized data visualization test within 3 days.
Test Analytics Report
iMocha’s powerful reporting & intelligent analytics will help you overview the candidate’s performance in each section of the data science tests at a glance. The candidate feedback module will ensure they have excellent experience with iMocha.
You have a Pandas DataFrame(df) in the following table:
When the following command is executed, what happens to the DataFrame?
df = df.fillna(‘’)
df = df.code.apply(lambda x: x[:-3])
Options
Data Science is a combination of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. This raw data is further analysed and used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics, machine learning patterns for discovery, etc. These responsibilities of analysing the data is carried out by the Data Scientist who work with statisticians and mathematicians to crack the complex data problems.
It evaluates knowledge of the data visualization, machine learning techniques data manipulation using R and much more. It assesses candidates’ competencies on basic, intermediate, and advanced levels. Questions are available in MCQ, Multiple Answer Questions, fill in the blanks, descriptive, audio/video questions, AI-LogicBox, formats that make it easier for recruiters to assess candidates better.
iMochs's online data science test is used by top tech companies to vet data scientists and hire the best data scientists. iMocha's data science assessment will help you to:
Yes, you can combine the Data science analytics with other tests. You are free to include related skills like Azure Data Factory, Big Data, Data Scientist with Python, and Data Analytics Excel test questions. These tests can be customized by adding multiple skills in a test to create an effective assessment.
You can consider below technical as well as soft skills while hiring great data scientists-
Technical Skills:
Soft Skills:
A recruiter should look for these certifications for data analyst:
Technical Skills:
Here are few important questions that you can ask to data scientists & predict their technical proficiency:
The roles and responsibilities completely depend on an organization’s needs. A data scientist's job is to collect data in bulk, analyze them and then to extract essential information for business growth. Later, that data can be used to increase the efficiency of the businesses make data-driven decisions.
Some of the roles and responsibilities of Data scientist are:
Assessing and hiring great data scientists is a challenging job. iMocha offers a ready-to-use online data science assessment which helps to quantify data science skills and select the most relevant candidate.
This assessment covers the most critical topics of data science like data science with Python programming, data science with R programming, Linear algebra, Machine learning algorithms, data mining, data wrangling and many more. The questions based on these topics are either MCQ’s or LogicBox. Our AI-LogicBox is an artificial intelligence based innovative pseudo coding platform for assessing skills for languages where online coding compilers are not available. Recruiters get comprehensive coding competency report with useful insights so that they can select relevant developers.
You can consider these technical as well as soft skills while hiring great data scientists:
Soft Skills:
Here are few important questions that you can ask to data scientists & predict their technical proficiency:
According to sources, Data Scientist can make somewhere between $96k to $135k per year. The amount excludes stock options, bonuses, RSUs, and profit-sharing.
