Selecting the Right Data Scientists
Hiring is one of the toughest challenges any company can face, either large enterprises or new startups. There is a great deal of know-how kind of experience when hiring a Data Scientist, not all companies have the right processes that can warrant best hires.
At SupportFinity, we streamlined our processes and in-house standards to make sure of having one of the top world-class hiring processes. The magic mix of skills ingredients is what separates a great hire from a not-so-good one. We came to this conclusion through consulting top technical and HR experts in addition to our years of work and exposure with most sophisticated projects across almost all tech verticals and areas of expertise. So you get one of the best recruitment processes to hire a Data Scientist.
As we have created and crafted a unique method of teams’ customization, we have also perfected our signature model of matching the right skills for our customers to hire either one Data Scientist or a team of Data Scientists. We have a long lasting belief in the power of data analytics in creating unmatchable results, thus, we apply our analytical models on our hiring process same as we do in our business model.
Data Scientist Job Description Template
Data Scientist
AKA: Computer Research Scientist
- The Data Scientist develops software for a production cloud-based data management project.
- The Data Scientist Identifies trends and relationships within data.
- The Data Scientist uses trend data to improve application performance and business operations.
- The Data Scientist contributes to setup of build and development tools.
- Contributes to algorithm tuning and development.
- Developing strategies to optimize data and search.
- Devises strategy for configuring application recommendation engines.
- Works closely with Management and Business development team. .
- Excellent written and oral communication and interpersonal skills.
- Good applied statistics skills.
- Experience with common data science toolkits.
- Excellent understanding of machine learning techniques and algorithms
- Scripting and programming skills at least one language.
- Experience in translating requirements to design as well as understanding of how metadata plays from the end use.
- Has experience in leading teams, someone who has extensive work experience in and end user access.
- Has prior experience with data modelling.
We know that communication starts from speaking common languages, thus we put this aspect as a first factor in our selection process, we do not proceed with hiring for Data Scientist before making sure that the candidate passes the language ability tests first.
The ability of self-explanation ( writing – speaking )
The ability of describing problems structurally and technically ( writing & speaking)
The ability of explaining ideas, situations and problems ( reading, writing & speaking)
This part mainly measures the logical, numerical and analytical aptitude of each candidate, top ones are the only ones we select for next stages.
We have a set of interview tests that measure the agreeability levels of each candidate for
Data Scientist, we do so as we believe that likability of any person starts from the ability
to achieve high levels of agreeability without compromising critical thinking.
We also measure the creativity side of the Data Scientist you look for, where we see when and how each
candidate can apply out-of-the-box and innovative ways of fixing problems or creating new solutions.
Some people can do well when working on their own, some others cannot!
Knowing this matters a lot when hiring a Data Scientist with regard to the team size needed.
Remote work needs a special level of team work skills, so we make sure that your Data Scientist can adapt and work well with your team
and be quickly part of it if needed.
We care about hiring someone who can deliver, create and perform the way you expect
with passion and enthusiasm.
We assess our people’s technical abilities on the merits of achievements more
than anything else.
Hiring the right Data Scientist is an uneasy decision, we consider
measing the actual technical skills of each candidate.
Having a great resume
is just the start for us, we select candidates know what they say
they know!
We conduct advanced technical tests to make sure we cover the needed knowledge your
Data Scientist needs to have to excel for your business.
We weigh academic qualifications as well, we also request our full time employees to submit their education evidence as a major hiring rule to follow. We believe having the right academic qualifications can make a great difference, especially in advanced science based areas like electronic design, engineering planning...etc.
One important metric for us is the ability of your Data Scientist to learn new skills, so we make sure that we select people who are only dynamic and willing to learn new ones.
Get in touch
Our team will be always happy to speak with you.
Frequently asked questions
