7 best tips for hire Data Science Talent
We are living in the 21st century where data has become the backbone of the industry. Hence, this calls for the need for data scientists that can be a frustrating task to find. It is difficult to hire the data scientist when you have limited knowledge about data scientists and Data Governance Approach.
Companies are widely searching for data scientists and talents to get the ideal solution. The companies have to work on the upskilling program as per the trends. It is essential to go onboarding and internal training to gain traction for data science talent. This is a way to fill up the void for the data scientists and ensure that the companies have top talent.
The best thing to do when it comes to hiring Data Science Talent is to follow up the topmost steps as mentioned below:
Make a list of candidates that are eligible for the data science job. The employees must contain the upgrade skill sets as per the platform to ensure that the aptitude and interest level are maintained easily. In addition to this, the transactions must be done to figure out the ways to be perfect in terms of data science.
Filter the candidates by meetings and in-dept presentations as per the domain. The data scientist must cover up every single aspect of the presentation including challenges, disadvantages, advantages, hurdles, and future growth. This is essential to ensure that things are transparent with employees to make the transition and work on the current role.
2. Data problem
The hiring is not complete if you are not aware of Data Governance Approach and the problem faced. It is a competitive world and people are all facing the problem that must be solved with the help of experts. The companies must be aware of the major problem to get solutions with delivery analytics, business results, and data science. This helps in recruiting the Data engineer easily.
3. University or Campus Placement
If it is fine to have the fresher onboard then it is best to go for the campus placement. This will help in getting the data scientist with a Ph.D. and Masters from universities. It will help in getting the graduate and give them a little training. Since the students will be the fresh pass outs, it will be easy to get them on board with the work and know the major steps to follow it up.
4. No Unicorn Job
The fact is that hiring the data science talent is not the unicorn business that one can focus on the core competencies. It is essential to keep in mind that the core skills are extremely difficult to find in the data scientists. Hence, make sure to focus upon core skills such as Python through which they can help them learn R easily. This is a great future for development
5. Collaborative Teams
It is best to hire Data Science Talent in the form of collaborative teammates. This will not only grow the team but also helps in strengthening the teamwork to work for data science. This is a great way to create a team and tap into the expertise to hold the best creative team. The domain knowledge must be covered up nicely to ensure that the right people are hired in the team with no issue in the business segments.
6. Keep it moving
You interviewed a candidate, you liked him, offer the deal to him. Otherwise, let them be free for different opportunities. The motive is to not keep anyone hanging in any process and ensuring that a good candidate is not lost. It is possible that the potential candidates must be interviewed and wheels must keep rolling with instant outputs. Even if the team is taking a few days to make a decision, make sure to let the candidate know about it.
Make sure to have a flexible budget when it comes to hiring Data Science Talent. This is to make sure that a potential candidate is not lost due to any reason which can be due to benefits or competitive pay. The data scientist pay is around $100,000 annually that makes it essential. Along with this, there are benefits and perks for data science that can be a great fit for the job. This will help up to put the bar on the data science jobs or go a bit higher if the good candidate is to be hired.
At this point, the data science works up well for the candidates if the companies know the exact profile they are offering. The motive is to ensure that the Data Governance Approach is covered up if the candidate has a significant amount of knowledge to form the team and have the domain fix-up.