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Decision Science Skills Test
Test duration:
30
min
No. of questions:
60
Level of experience:
Entry Level/Mid/Expert

Decision Science Skills Test

This test can reduce the overall interview time by 50%, allowing businesses to streamline their hiring decisions, while significantly increasing the ROI of their learning initiatives.

This test assesses candidates and employees’ ability to use advanced mathematical tools and concepts to analyze data, understand trends, and use Machine Learning to assess possibilities and make key decisions. 

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Capgemini
Deloitte
The United Nations
The United Nations
Fujitsu
The United Nations

What is Decision Science?

Decision Science refers to the process of using quantitative tools and techniques to make critical business decisions. A career in Decision Science involves using skills such as forecasting, experimenting, and computational understanding to perform the various tasks the role requires.

Why Use iMocha’s Decision Science Skills Test?

This test helps Talent Acquisition and Development professionals hire and upskill/reskill the most eligible individuals when looking to fill/upskill Decision Science roles, such as Data Scientists or Business Analysts.

Decision Science online tests can help recruiters and L&D managers understand an individual’s ability to use mathematics and technology to make analytical decisions based on multiple factors and empowers them to make informed decisions based on test performance data, free from unconscious bias.

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How it works

Test Summary

iMocha's Decision Science skills test evaluates candidates and employees based on their proficiency in various skills, including their ability to: 

  • Objectively analyze and evaluate data to solve problems and make key decisions.
  • Use mathematical concepts to analyze trends and patterns.
  • Interpret the various data sets in silos and use them to construct larger plans and strategies.
  • Use statistical algorithms to predict outcomes based on existing data sets.
  • Maintain databases to ensure ease of extracting data at the right times.

We provide a comprehensive test to assess the mentioned skills, with role-based access control to limit access to authorized personnel and proctoring features such as window violation to help preserve the integrity of your tests.

Useful for hiring
  • Data Scientist
  • Business Analyst
  • Operations Research Analyst
  • Quantitative Analyst
  • Market Research Analyst
  • Product Manager
  • Strategy Analyst
  • Financial Analyst
  • Risk Analyst
Test Duration
30
min
No. of Questions
60
Level of Expertise
Entry Level/Mid/Expert
Topics Covered
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Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.
Question type
Topics covered
Difficulty

Question:

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Test Report
You can customize this test by

Setting the difficulty level of the test

Choose easy, medium, or tricky questions from our skill libraries to assess candidates of different experience levels.

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment and assess multiple skills together.

Adding your own
questions to the test

Add, edit, or bulk upload your coding, MCQ, and whiteboard questions.

Requesting a tailor-made test

Receive a tailored assessment created by our subject matter experts to ensure adequate screening.
FAQ
How is the Decision Science Skills Test customized?
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This test is customized to ensure individuals are evaluated based on the various skills they must possess for a role in Decision Science. These include:

  • Data and business analysis
  • Forecasting
  • Data management
  • Descriptive research, and more.

It also tests them on various other soft skills, such as their ability to communicate and collaborate, as well as their command of the English language using our AI-EnglishPro feature.

What are the most common interview questions related to this role?
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Some of the most common Decision Science interview questions include:

  • What is the key difference between unsupervised and supervised learning algorithms?
  • Can you describe the process of building a predictive model step-by-step?
  • Can you give us an example of a time when you used A/B testing to make a business decision?

Take a tour of this blog to find more than 100+ crucial data science interview questions.

What are the required skills to work on decision science?
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There are various skills required to build a career in Decision Science. Some of these key skills include:

  • The ability to gather and analyse data
  • The ability to forecast based on existing data
  • The ability to understand statistical algorithms and predict and forecast outcomes based on these
  • The ability to interpret small data sets and build them into larger strategies.