Data Scientist

A data scientist is responsible for analysing and interpreting data in order to help the business make beneficial decisions. Using algorithms, statistics, and predictive methods; a data scientist is able to collect their findings to share with other stakeholders, before making changes and adjustments to the business based on the information that they present.

A data scientist must design the data modeling process and create the algorithms in order to conduct the analysis and come to an evidence-based conclusion. They must be patient and persistent, as the extrapolation and analysis of large data sets can be time consuming and it can often be difficult to find patterns and trends within the data set.

Day-to-day tasks of this role:

  • Identify the best method to use to interpret data.
  • Gather data.
  • Apply algorithm or prediction model to data.
  • Collect findings and identify patterns and trends.
  • Alter methods based on desired outcomes or data sets.
  • Present the data finings to relevant stakeholders.

Recruitment Process

Understand the Role

Review the skills profile

To find the best person for the role, you need to understand what the role involves. You can complete this with the hiring manager to define the role, what it contributes to the organization, and the skills needed.

Understand the Role

Source Applicants

Write a job description based on skills

Once you understand the requirements for the role, you’ll need to understand the skills for success. You can then write an effective job description to promote your role.

Source Applicants

Skills Assessment

Select the ideal candidate

See which applicants have the right skills for the role. Send all your applicants a Vervoe skills assessment from the expert library, or customise one for your organization. 

Skills Assessment


Interview top performers

Your skills assessment results will identify top performers. Focus your time on interviewing those that have met or exceeded your requirements. Assessment results will also help guide which skill areas to focus on in the interview. 



Skills profile for a Data Scientist

A data scientist will be required to have obtained a tertiary qualification such as a Bachelor degree in IT, computer science, mathematics, physics, computer programming or other related field. It is also usually required that a data scientist holds a Master’s degree in data, or other related field. It is also favourable that a data scientist has relevant industry training and knowledge. There are some common skills required for this position.

It is important that a data scientist has strong analytical skills. They must have the ability to manage large data sets and identify distinct patterns of data, as well as draw conclusions from these data sets. They must also ensure the data is clean, representative, and accurate.

A data scientist must also have experience using and knowledge about machine learning. They must understand the different types of machine learning and best use cases, as well as make recommendations on machine learning models and product enhancements.

It is essential that a data scientist also has programming experience and is highly trained in different programming methods. They must be competent using different programming languages, as well as being competent in managing big data. They must not shy away from a challenge, and approach each new project with excitement and motivation.

Once you’ve determined the skills required for the role, you can write the job description to advertise for your position. ​


Data Scientist Job Description


  • Why is this role being filled?
  • How does this role fit into the organization and the team?
  • What makes your company unique?
  • What would it be like to work for you?


  • What technical skills are needed for this role?
  • Which soft skills are applicable?
  • What are the nice-to-have experiences of your ideal candidate?
  • Include availability preferences in this section


  • What are the key deliverables for this role?
  • What does the day-to-day of this role look like?


  • Compensation & bonuses
  • Employee benefits & perks
  • Ongoing training benefits

As this is a highly technical role, it is important to include any particular competencies this role requires. This might include listing the operating systems, network configurations or software that the data scientist needs to be able to work with.

Ensure that the entire recruitment process from job description to assessment to interview reiterates your company vision and values. This will help you identify the right people for the role, and applicants will know whether your company is the right fit for them.


Sample skills assessment

Data scientist 1
Question 1

Data Scientist

Question Type: Doc

Tell me about your experience developing or designing a machine learning model.

Data scientist 2
Question 2
Machine Learning
Question Type: Text

Describe a time where you have made a recommendation for product or ML that has been successful.

Data scientist 3
Question 3
Question Type: Video

Describe your preferred data visualization.


Interview guide for a Data Scientist

Once your Vervoe skills assessment has surfaced the most qualified people for your open role, you can focus on interviewing these candidates. The PDF interview guide contains structured questions against each of the competencies for this role.

This interview guide is intended to be used in conjunction with the Vervoe skills assessment. Where a candidate has scored Low – Medium on a skill, focus on asking more questions from that skill to gain deeper insight into their level of competency.

Get your copy of the  interview guide to complete the hiring process. Includes questions against each of the skill competencies for the role.

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