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Decision Science Test

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Type

Cognitive Ability

Time

10 minutes

Level

Medium

Questions

12

About the Test

This test evaluates a candidate’s expertise and knowledge in Hypothesis Testing, Business Analytics, Business Forecasting, Descriptive Research, and other required skills for the job role.

The Decision Science test assesses a candidate’s ability to utilize unique approaches when faced with a complex problem while testing other factors, such as the ability to examine the evidence before following the most goal-oriented practices in the business decision-making process.

The Decision Science test will also test the candidates’ ability and skills to use advanced knowledge of mathematics to understand various business patterns and trends. It will also evaluate the candidate’s presence of mind to design analytical data sets, take clients’ business questions, and curate straightforward data analysis to effectively answer them.

The Decision Science test can identify candidates who can analyze acute challenges and define important decisions to tackle them through their knowledge of business dynamics, their instinct, and far-sightedness.

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Skills Measured

  • Hypothesis Testing
  • Business Analytics
  • Business Forecasting
  • Descriptive Research

Roles

  • Senior Associates in decision science
  • Junior Associates in Science
  • Manager-decision Science
  • Economist
  • Data Scientist
  • Business Analyst
  • Market Researcher
  • Operations Research Analyst

Recruitment For Decision Science

For candidates with good decision-making abilities, the traditional method of assessing their skills by questioning them about their previous experiences can be inaccurate, and recruiters can lose promising talents.

Additionally, cognitive bias may arise while evaluating soft skills during personal interviews. An objective problem-solving test is designed to assess without bias various skills such as:

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Customer Satisfaction

Testlify helps you identify the best talent from anywhere in the world, with a seamless experience that candidates and hiring teams love every step of the way.

1

Hypothesis Testing

Hypothesis testing is the simplest way to integrate the data available into the company’s decision-making process. The right candidate must be able to give a proposed explanation whose validity can be tested by analyzing the data available. 

2

Business Analytics

The candidate should be able to explore organizational and business analytics data while emphasizing statistical analysis to drive decision-making.

3

Business Forecasting

Every business uses a form of forecasting to help them develop successful business strategies. The candidate has access to the company’s past organizational data that they should be able to collect and analyze to find the best possible patterns for efficient decision-making.

4

Descriptive Research

This test will assess if the applicants have the ability to focus on minute details and have an observational approach to everything. The candidate should be well-versed in conducting descriptive research to find answers to complex challenges.

The test is created by a subject-matter expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

View sample score cards

Top five hard skills interview questions for Decision Science

1. Can you explain the difference between supervised and unsupervised learning algorithms?
Why this Matters?

Understanding the distinction between these two categories of algorithms is fundamental for a decision scientist, as it informs the approach they take when developing predictive models.

What to listen for?

A good candidate should be able to explain the basic concepts, give examples of each type of algorithm, and discuss when one might be preferred over the other.

2. Can you describe the process you would go through to build a predictive model, from start to finish?
Why this Matters?

This question assesses a candidate’s understanding of the end-to-end modeling process, including data preparation, feature engineering, model selection, evaluation, and deployment.

What to listen for?

A strong candidate should be able to walk through the steps of the process and explain the reasoning behind each step. They should also be familiar with common tools and techniques used in each stage.

3. Can you explain the concept of overfitting and how you would prevent it in a model?
Why this Matters?

Overfitting occurs when a model fits the training data too well and doesn’t generalize well to new data. It’s a common problem in predictive modeling and preventing it is critical for developing accurate models.

What to listen for?

A candidate should be able to define overfitting, explain its causes, and provide examples of techniques to prevent it, such as regularization, cross-validation, or early stopping.

4. Can you describe how you would approach feature selection for a predictive model?
Why this Matters?

Feature selection is the process of choosing the most relevant variables to include in a model. It’s an important step in the modeling process, as it can have a big impact on model performance.

What to listen for?

A good candidate should be able to explain different feature selection methods, such as backward selection, forward selection, or wrapper methods. They should also be able to discuss the trade-offs between different methods and when one might be preferred over the others.

5. Can you give an example of a time when you used A/B testing to make a business decision?
Why this Matters?

A/B testing is a common technique used by decision scientists to determine the effectiveness of different alternatives. It’s an important tool for making data-driven decisions and measuring the impact of interventions.

What to listen for?

A strong candidate should be able to describe a real-world example of A/B testing they’ve performed, including the design of the experiment, the results, and the decisions made based on the results. They should also be able to discuss the limitations of A/B testing and the assumptions it makes.

Frequently Asked Questions for Decision Science

A decision science assessment evaluates applicants’ ability to make judgments, analyze the economics of competitive and strategic decisions, and use mathematical modeling approaches.

Recruiters and hiring managers can use a decision science assessment to evaluate a candidate’s ability to make judgments, analyze the economics of competitive and strategic decisions, and use mathematical modeling approaches. This assessment can help reveal critical insights about a candidate’s strengths, shortcomings, and cultural fit, allowing recruiters and hiring managers to make more informed judgments about who is right for their team.

The responsibilities of a Decision Scientist may include using data and analytics to support decision-making, developing analytical data sets, and working with multiple platforms to extract and translate data.

The topics that are covered in the Decision Science assessment are as follows:

  • Hypothesis Testing
  • Business Analytics
  • Business Forecasting
  • Descriptive Research

  • Senior Associates in decision science
  • Junior Associates in Science
  • Manager-decision Science
  • Economist
  • Data Scientist
  • Business Analyst
  • Market Researcher
  • Operations Research Analyst

Frequently Asked Questions (FAQs)

Want to know more about Testlify? Here are answers to the most commonly asked questions about our company.

These are ready-made tests, existing in our test library, created by subject matter experts. We have 200+ such skills tests covering various skills from programming skills to DevOps, including Aptitude and Personality testing.

You can go to the ‘Test Library’ tab and search for tests from the Job Role or Test Type drop-down menu.

Currently, we do not offer any sample tests. However, when you select a test, there would be a few practice questions before the start of the actual test, which would give you a fair idea of how the entire test would look.

Our tests typically take between 25-30 minutes to complete.

In case you need to test for a unique skill-set or specialized experience, you can add your own questions and customize the test to suit your requirements.

We’ve put a lot of effort into ensuring a conducive test environment. A stable internet connection, an internet browser with cookies and Java-Script enabled is all that is required!
However, for a smooth test-taking process, we recommend the following browsers:
– Google Chrome
– Internet Expl
– Mozilla Firefox

Yes, our tests are compatible with almost all modern mobile devices (including tablets) that have a webcam installed.

Yes, our tests are EEOC (Equal Employment Opportunity Commission) compliant and are whetted by subject matter experts, thus having high reliability (test consistency) and validity (accuracy of the test).

Yes! We integrate with popular recruiting tools such as Greenhouse, Lever, GoodTime, and many more.

We are GDPR compliant and take data security very seriously. You have complete ownership of your data. All your data is safe and secure, and we do not expose it to any third party.

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CEO at PowerLinx
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We saved a tremendous amount
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President, Arch Advisory Group
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