Are you looking to hire remarkable data scientists for your team?
The right hiring process can be the first step in building a great team and getting the most out of your data science projects.
Data scientists are in high demand, but the shortage of data scientists is also an issue. Companies are struggling to find and maintain them. In order to hire and maintain data scientists, companies need to invest in recruiting and training programs. They also need to provide them with the right tools, equipment, and work environment.
Below you can find five secrets to hiring the best data scientists as well as some free resources and videos to help keep them in your organization for maximum impact.
Five Secrets to Hiring and Maintaining the Best Data Scientists
1) Hiring Process Based on Real Needs:
The best way to ensure that you make the right choice in hiring data scientists is to create a process that will mirror the future needs of your organization with the data science projects.
2) Objective Evaluation:
Remove biases from the evaluation phase, and make decisions based on performance in data science and compatibility with company culture.
3) Fast Process:
A hiring process that takes too long will not be very helpful for any organization. Make the process as smooth as possible for the new hires.
4) Roadmap For Projects:
Providing a roadmap for future data science projects can be essential in maintaining the motivation and direction of your data science team.
5) Impact of Work:
Showing how the work of the data scientists is impacting your organization will keep them motivated and highlight the value of their contribution.
Now you can also try these secrets to get the maximum results for your next data science hirings.
This lesson covers:
- The different tribes of data scientists.
- How to hire and manage data scientists.
- The differences between being data-informed, data-driven and data-centric
- How to build the right culture for data science
Who is this for?
This lesson is perfect for all those who are planning to hire their first data scientist. This course demystifies the different types of data scientists, and advises you on the best practices for building the right type of culture for data science. As part of this course, you get limited time access to premium support and data science coaching.
You can sign up to the course here.
Alternatively, if you are looking for a more intense course which covers more topics then this course is for you. This is the complete package of our flagship workshop “Data science and AI for decision makers”.
This workshop covers everything that is covered by the three other courses:
- Introduction to data science for decision makers
- Thinking like a data scientist without being one
- Hiring and culture: The soft parts of data science
This workshop is offered at 33% discount compared to booking each course individually.
Who is this for?
This is the perfect course of any decision makers who is thinking to work with data science/AI. Whether you are an entrepreneur, a CEO of an SME or a manager in a huge organisation, this course provides the complete package to help you understand and work with any topics related to data science. From data strategy, to building the right culture, to solving problems using data science, this course leaves no stone unturned.
As part of this course, you get unlimited support over email, an 1-hour data science coaching call, and also become part of our community.
You can sign up for this course here.
Hiring data scientists can be a complicated affair. There are so many different types of data scientists, with so different skills, that it can be challenging to figure out what type of data scientist you are looking for. This HDS questionnaire helps you figure this out in a few simple questions.
You can find the free framework here.
CEOs and decision makers are increasingly realising that to in order to progress and keep up with their competitors they will need to start making data-driven decisions. Therefore, this has led to an increasing demand for data scientists and data science talent within organisations.
You can read more here.
One of the biggest dilemmas for entrepreneurs and decision makers in any company is whether they should build an internal team, or whether they should outsource the technical development to a third party. This is an important decision that can affect everything, from your costs to the development time.
In this article we will analyse the pros and cons of each choice.
Dr Stylianos Kampakis and Sameer Rahman present the data maturity framework which is the ultimate data strategy framework for enterprises.
Data is the new oil. All organisations will eventually have to become data literate and learn how to extract value from data. This is why understanding data capabilities is key.
The Data Science Maturity Framework is a 5-level framework that helps you understand the maturity of your organization’s data science capabilities. This framework was designed by Sameer Rahman (voted in the top 100 data scientists in the UK) and the Tesseract Academy.
Book your free ticket here