Decision Scientist Tests

Roles

Decision Scientist

Tests

Overview

Tests

Start Using These Tests to Assess Your Decision Scientists

Intern Decision Scientist Screening Assessment

A screening assessment designed to evaluate the hard skills of potential Intern Decision Scientists.

Data Analysis

Statistics

SQL

Machine Learning

Python

Data Literacy

Analytical Reasoning

Problem Solving

Hypothesis Testing

Inductive Reasoning

Statistical Analysis

Data Visualization

45 mins

30 Questions

Standard

Intern Decision Scientist In-depth Assessment

A comprehensive assessment to evaluate the skills and capabilities of potential Intern Decision Scientists in an in-depth manner.

Data Analysis

Statistics

SQL

Machine Learning

Python

Data Literacy

Analytical Reasoning

Problem Solving

Hypothesis Testing

Inductive Reasoning

Statistical Analysis

Data Visualization

Written Communication

Verbal Communication

Collaboration

Attention to Detail

2 hours, 30 mins

45 Questions

Standard

Graduate Decision Scientist Screening Assessment

An initial screening to assess the hard skills of potential Graduate Decision Scientists.

Statistics

SQL

Data Analysis

Data Literacy

Analytics Programming

Data Management

Data Visualization

Chart Interpretation

Microsoft Excel

Analytical Reasoning

Inductive Reasoning

Critical Thinking

45 mins

20 Questions

Standard

Graduate Decision Scientist In-depth Assessment

A comprehensive assessment to evaluate the skills and capabilities of potential Graduate Decision Scientists.

Statistics

SQL

Data Analysis

Data Literacy

Analytics Programming

Data Management

Data Visualization

Chart Interpretation

Microsoft Excel

Analytical Reasoning

Inductive Reasoning

Critical Thinking

Collaboration

2 hours, 15 mins

45 Questions

Standard

Junior Decision Scientist Screening Assessment

An initial screening to evaluate the hard skills of potential Junior Decision Scientist hires.

Statistics

Data Analysis

SQL

Analytics Programming

Data Management

Data Visualization

Chart Interpretation

Analytical Reasoning

Inductive Reasoning

Problem Solving

Critical Thinking

45 mins

30 Questions

Standard

Junior Decision Scientist In-depth Assessment

A comprehensive in-depth assessment designed to evaluate the skills and capabilities of Junior Decision Scientist candidates.

Statistics

Data Analysis

SQL

Business Acumen

Analytics Programming

Data Management

Data Visualization

Chart Interpretation

Analytical Reasoning

Inductive Reasoning

Problem Solving

Critical Thinking

Collaboration

Attention to Detail

2 hours, 30 mins

45 Questions

Standard

Decision Scientist (Mid-Level) Screening Assessment

An initial screening to test the data analysis and related skills of potential Mid-Level Decision Scientist hires.

Data Analysis

SQL

Python

Machine Learning

Data Visualization

45 mins

30 Questions

Advanced

Decision Scientist (Mid-Level) In-depth Assessment

A comprehensive in-depth assessment to evaluate the technical and soft skills of mid-level Decision Scientists.

Data Analysis

SQL

Python

Machine Learning

Data Visualization

Analytical Reasoning

Inductive Reasoning

Business Acumen

Verbal Communication

Written Communication

Collaboration

2 hours, 30 mins

50 Questions

Advanced

Senior Decision Scientist Screening Assessment

An initial screening to assess the technical skills of potential Senior Decision Scientist hires.

SQL

Python

Machine Learning

Statistics

Analytical Reasoning

45 mins

30 Questions

Advanced

Senior Decision Scientist In-depth Assessment

An in-depth assessment designed to evaluate the comprehensive skills of potential Senior Decision Scientists across technical, analytical, and soft skill areas.

SQL

Python

Machine Learning

Statistics

Analytical Reasoning

Problem Solving

Business Acumen

Leadership

Verbal Communication

Written Communication

Collaboration

Causal Inference

Hypothesis Testing

2 hours, 30 mins

45 Questions

Expert

Lead Decision Scientist Screening Assessment

An initial screening to test the data science and related skills of potential Lead Decision Scientist hires.

Data Science

Machine Learning

Natural Language Processing

Algorithms

Apache Spark

Data Governance

Data Modeling

Business Intelligence

Data Security

Data Ethics

Data Mining

Statistical Analysis

Problem Solving

Critical Thinking

Analytical Reasoning

Hypothesis Testing

Causal Inference

Technical Writing

Data Privacy

45 mins

30 Questions

Advanced

Lead Decision Scientist In-depth Assessment

An in-depth assessment to evaluate the comprehensive skills and expertise of potential Lead Decision Scientist hires.

Data Science

Machine Learning

Natural Language Processing

Algorithms

Apache Spark

Data Governance

Data Modeling

Business Intelligence

Data Security

Data Ethics

Data Mining

Statistical Analysis

Problem Solving

Critical Thinking

Analytical Reasoning

Hypothesis Testing

Causal Inference

Technical Writing

Data Privacy

Leadership

Business Strategy

Data Storytelling

Project Management

Python

2 hours, 30 mins

50 Questions

Expert

Over 50,000 Candidates Can't Be Wrong

One of the most professional assessments I have ever seen. it is strongly related to the job role and efficient for the talent acquisition team to know more about me.

Ahmad

Marketing strategy candidate at large enterprise

Overall, I found the test to be well-designed and comprehensive, effectively assessing the relevant skills and knowledge required for the position. The questions were thought-provoking and challenged me to think critically.

Sami

Senior marketing manager candidate for leading SE Asia corporate

I attended many online assessments which are kinda complicated where the questions makes no sense considering the job code but these questions makes sense and I can sense what kinda role that I should be doing if I'm selected. The questions are crisp and easy to understand.

Karthick

Senior marketing analytics manager for SE Asian enterprise

Overall, it was a truly excellent interview. The quality of the questions, and the overall flow of the conversation were impressive. Despite being aware of my shortcomings in certain areas, I am satisfied of this interview.

Samuel

Marketing data analyst candidate at leading OTA

Our Customers Say

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

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