Data Science skills test: Pre-employment screening assessment to hire the best candidates

Summary of the Data Science test

This Data Science test assesses candidates’ skills in core topics of statistics, fundamentals of data science and programming, machine learning, and neural networks. The test is designed to help you identify mid-level data scientists.

Covered skills

  • Statistics

  • Fundamentals of data science and programming

  • Machine learning

  • Neural networks and deep learning

Use the Data Science test to hire

Data scientists, data analysts (advanced), forecasting analysts, modeling analysts, machine learning scientists, or other roles that require a good knowledge of data science.


Role specific skills


10 min


English, Dutch, French, German, Spanish


Graphic image for the role specific skills test

About the Data Science test

The field of data science is a broad and complex one, requiring not only an understanding of statistics and probability theory but also the ability to work with data in practical, meaningful ways. Hiring candidates proficient in these areas can help your organization unlock insights from vast amounts of data, drive strategic decision-making processes, and stay competitive in today's data-driven market.

This Data Science test evaluates candidates' abilities across four key skill areas: statistics, fundamentals of data science and programming, machine learning, neural networks, and deep learning. These components are crucial for any professional working within the field as they form the foundation for sophisticated analysis and predictive modeling.

This screening test will assist you in identifying individuals who can effectively translate raw information into actionable strategies. Candidates who excel on this test will have demonstrated their capacity to use advanced techniques such as machine learning algorithms or neural networks to derive valuable insights from large datasets. Their skills could lead to more accurate forecasting models, better customer segmentation strategies or even new product ideas based on trend analysis.

To evaluate these data science skills, this test uses real-world data challenges to generate questions that evaluate important data science skills. The results from this assessment will allow you to make confident hiring decisions that contribute positively towards your business objectives.

Photo of the subject matter expert for this test, Vincent F.

The test is made by a subject-matter expert

Vincent F.

Vincent has one mission: to share his expertise in data science and increase data literacy - a goal that’s evident in all of his endeavours. His greatest pleasure stems from teaching the fundamentals of data science in a way that’s accessible to all students.

Having worked for several years for companies big and small, Vincent is now taking his data science proficiency to the next level: he’s currently working on his Master’s thesis in machine learning and operations research.

Crafted with expert knowledge

TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject.

Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.

What our customers are saying

TestGorilla helps me to assess engineers rapidly. Creating assessments for different positions is easy due to pre-existing templates. You can create an assessment in less than 2 minutes. The interface is intuitive and it’s easy to visualize results per assessment.

David Felipe C.

VP of Engineering, Mid-Market (51-1000 emp.)

Review from G2

Any tool can have functions—bells and whistles. Not every tool comes armed with staff passionate about making the user experience positive.

The TestGorilla team only offers useful insights to user challenges, they engage in conversation.

For instance, I recently asked a question about a Python test I intended to implement. Instead of receiving “oh, that test would work perfectly for your solution,” or, “at this time we’re thinking about implementing a solution that may or may not…” I received a direct and straightforward answer with additional thoughts to help shape the solution.

I hope that TestGorilla realizes the value proposition in their work is not only the platform but the type of support that’s provided.

For a bit of context—I am a diversity recruiter trying to create a platform that removes bias from the hiring process and encourages the discovery of new and unseen talent.

David B.

Chief Talent Connector, Small-Business (50 or fewer emp.)

Review from G2

Use TestGorilla to hire the best faster, easier and bias-free

Our screening tests identify the best candidates and make your hiring decisions faster, easier, and bias-free.

Watch what TestGorilla can do for you

Create high-quality assessments, fast

Building assessments is a breeze with TestGorilla. Get started with these simple steps.

View a sample report

The Data Science test will be included in a PDF report along with the other tests from your assessment. You can easily download and share this report with colleagues and candidates.

data-science test

The benefits of recruiting with a data-science test

A data-science test is an important way to assess applicants’ core skills when it comes to data science. The candidate needs to be well-versed in topics such as:

  • Statistics

  • Machine learning

  • Neural networks

  • Deep learning

Our data-science test is designed to help you evaluate entry- to mid-level data scientists.

Data science aims to find algorithms (patterns) within a specific set of data. That’s why data scientists need to know their way around statistical techniques: they need to analyze the data, process it, and find insights.

Then, the data scientist uses this insight as a prediction model. It’s about determining what could happen in the future by using the insights gathered from the data. That’s why a data scientist’s job is so important. With these models, companies can make better, smarter, and more accurate business predictions for the future.

So having a really good data scientist is a matter of better preparing your organization for the future. That’s why you need to effectively evaluate your candidates – and a data-science test will help you to identify the top talent.

How you can use data science in the workplace

You can use data science in any number of fields inside your organization. The process will help your teams to run more efficiently. Here are some examples of how you can use data science in your company’s teams:

• Marketing: You can use data science in marketing for channel optimization, better lead targeting, real-time interaction with customers, maintaining customer loyalty, and predictive analysis.

• Sales: Data science can be used in sales for predicting sales, streamlining the sales process, improving lead generation, increasing results for cross-sells and upsells, improving the customer’s lifetime value, reducing churn rate with clients, and even setting the right price for your products and services.

• HR: In HR, you can use data science for employee sentiment analysis, reducing employee turnover, improving learning and development initiatives, streamlining the hiring process, and implementing a better onboarding process.

There are some other applications of data science in the workplace, such as improving data and systems security, improving business intelligence, and carrying out complex data interpretations. Generally, it can help employees to make better decisions overall.

data-science test

Data science competencies for candidates

Data scientists need to have certain competencies to do their job well. The skills that they should have are:

  • Knowledge of linear algebra

  • Understanding of mathematical principles such as dimensionality reduction and multivariable calculus

  • Coding and programming skills

  • Experience in Python

  • Knowledge of predictive modeling

  • Experience with data wrangling

  • Machine learning skills

  • Understanding of neural networks

  • Communication skills

The right data-science candidate

The right candidate will have all of the above-mentioned skills, but they will also have some underrated skills that are a bit harder to measure. They will have a pragmatic outlook that enables them to connect machine-learning models and data to find insights that are relevant for the business’s bottom line.

Not only that, but they will also need to work well with others to get the most out of data; creating business value from data science is a team effort and your data scientist will need to be able to work with others. They will also need to do things such as pair programming and sprint planning, which require them to be a team player.

And the last thing a data scientist needs is really good communication skills. All of the insights that are gathered from the data are in vain if their value isn’t being communicated to the correct stakeholders. So the right candidate will have a set of soft skills that makes them indispensable in the workplace.

data-science test

What happens when a candidate lacks strong data science skills

You need a good data scientist in your organization and you need to make sure that your hiring process is set up in a way that will enable you to find one. That’s why we recommend using a data-science test to evaluate your candidate.

If you hire the wrong candidate, you will create quite a lot of problems in your workplace. A not-so-good data scientist can:

Stop learning once they’re hired and miss out on new technological advances in the field that are crucial for doing the job successfully

Make mistakes when understanding the problem statement, which would create a faulty hypothesis

Be inexperienced with data verification, data cleaning, and data wrangling

Create models that don’t represent the data accurately

Create models that don’t provide the business with any meaningful value when it comes to the bottom line

Do a poor job when it comes to data security and leave openings that can turn into security breaches

All of these reasons and many more are why you need to properly vet your data-scientist candidates.

How can a data science test help recruiters hire the right people?

The hiring manager should use a scientifically validated data-science test that will help to recruit a data scientist who’s qualified for the job.

Using a pre-employment test is the best way to screen candidates before identifying who you want to interview, because the test’s fair, objective results can be ranked to show you which applicants perform most strongly in the required skills..

This way, the candidates will be assessed only on their abilities, so you eliminate hiring bias and give every candidate the opportunity to prove themselves. These pre-employment tests are simple, scalable and easy to use. It doesn’t make any difference to the hiring manager if there are 50 or 200 candidates: they simply distribute the same test with a single click.

In summary

Hiring an excellent data scientist is imperative because they can improve many processes in your marketing, HR, and sales teams. To ensure that you hire the right candidate, you should give them a pre-employment data-science test. With this, you will eliminate bias from the hiring process and assess your candidates only on their verifiable skills.


Related tests

New test

Instagram Marketing

This Instagram Marketing test evaluates candidates’ knowledge of Instagram and the tools it provides to grow a brand’s Instagram profile organically. This screening test will help you hire social media managers who can build up your brand on Instagram.
10 min
New test

Risk Management

This Risk Management test evaluates a candidate’s ability to identify, assess, and mitigate business risks. This screening test will help you hire experts who can enhance decision-making and ensure continuous improvement and organizational resilience.
10 min
New test

Network Engineering

This Network Engineering test assesses candidates' proficiency in effective network management. This screening test will help you hire network engineers who can improve your business’ security, reliability, performance, and efficiency.
10 min
New test

Store First-Line Management

This Store First-Line Management test evaluates a candidate’s ability to lead and optimize retail operations. This screening test will help you hire experts who ensure efficient teams, outstanding customer service, and strategic business growth.
10 min

AI Product Manager

This test evaluates a candidate’s ability to/knowledge of AI product management. This screening test will help you hire AI product managers who can confidently lead the building, launching, and scaling of AI products.
10 min

Computer Networking Fundamentals

The Computer Networking Fundamentals test covers intermediate-level knowledge of networking and protocols. The test assesses working knowledge of various networks, transmission media and routers, and troubleshooting minor networking issues.
10 min

LinkedIn Advertising

This LinkedIn Advertising test evaluates candidates’ ability to create, manage, and optimize successful LinkedIn ad campaigns. This screening test will help you hire digital marketing professionals who can generate leads and conversions for your business.
10 min

International Trade Law

This test evaluates a candidate’s knowledge of international trade law. This screening test will help you hire international trade law experts who can show profound knowledge of international trade law practices, institutions, and organizations.
10 min

Data Storytelling

This Data Storytelling test evaluates a candidate’s ability to convey data-driven insights effectively. This screening test will help you hire analysts with the ability to investigate, interpret, and communicate data stories.
10 min

Design Thinking

This Design Thinking test evaluates candidates' skills in user-centric problem-solving, fostering innovation that enhances business competitiveness. It helps you hire design thinking experts who drive user satisfaction through creative solutions.
10 min