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DISCOVER THE WORLD OF TALENT ACQUISITION
What are data
scientists looking for?
First of all, the role of data
scientists is to deliver data-intensive applications as seamlessly as possible.
As a result, the three key skills in data science are computing, algorithms and
business. Data scientists therefore have essentially technical profiles and a
very advanced level of expertise. When working on a project, you need to work
with a number of people, so you need to find those who not only have new and
innovative ideas to contribute, but who also have good interpersonal skills.
It’s important to remember that
these profiles are hard to find, but a large community has developed around
Data Science. They meet up at Meetup events, organise conferences and pass on
their knowledge. They also have the opportunity to train on platforms such as
Coursera, to acquire additional skills. There are also challenges in which they
can compete in teams.
The aim of data scientists is to
provide concrete answers to problems, so that decisions can be taken. It should
be noted that they also seek to provide innovative approaches using appropriate
technologies. Finally, as we have seen, they generally have a sense of
belonging to a community: they show a willingness to exchange with others, to
share and to learn.
The keys to
The first thing to consider is
the company’s culture and identity. Data scientists will be interested in
companies that value analytical approaches and that aim to constantly improve
their offering by processing data. It is therefore in the company’s interest to
encourage this type of approach by providing easy access to the company’s data,
so that everyone can find something to develop analytical approaches.
When we talk about Data Science,
we also take into account the spirit in which the approaches are developed. As
this is a field that has evolved very recently as a result of market needs, it
is important to bear in mind that Data Scientists have an innovative and modern
mindset. For example, this idea can be found in start-ups: you define an
objective, envisage several possibilities for achieving it, test them and
accept failure in order to bounce back.
On the other hand, it’s important
to help them project what is expected of them in the company. This gives them a
very clear idea of the strategic challenges and initiatives that will be taken
within the company.
Last but not least, Data Science
candidates attach a great deal of importance to the technical environment. It’s
not just a question of presenting an ambitious project, but above all of having
the technological and IT capabilities! So you need to be open to the
introduction and use of new technologies.
How should the
recruitment process be organised?
The main objective is to ensure a
relevant selection of candidates so as to reach the best people. You therefore
need to select the media through which you advertise your vacancies, based on
their relevance to this community. For example, there are recruitment forums
specialising in Data Science and challenges organised on Job Boards, so these
are worth keeping an eye on. It should also be noted that Data Scientists are
highly connected, so the vast majority of them are on social networks. Relaying
job offers for Data Scientists on these networks is therefore an excellent way
of attracting them.
Once this first stage has been
completed, the candidates still need to be sorted. To assess the different
types of application, it is a good idea to offer candidates a hands-on
technical test, i.e. they are asked to analyse a set of data using the language
of their choice. We can also ask candidates to brainstorm with us on a
data-related issue facing the company, to highlight their ideas and their
ability to think on their feet. You can also ask them to meet the various
people involved in the Data project, to check that they are able to communicate
well with them.
Adison.ai is involved firstly in
creating and advertising the job vacancy, and then in selecting the best
candidates. Using social networks, we can help you acquire the best Data
Science talent, according to your criteria and expectations. Contact us to find