There are numerous verticals that are associated with the Data Science process. It is extremely rare to find one individual who could do it all. A person can be an expert in 1 or 2 domains not all, which brings the requirement to form a team and be able to perform a data science related task. Here all of them are reliable on each other, hence cannot work individually but can do wonders while working together as a team.
Let’s find out more about the departments in a data science team, their skills and the importance of team work.
These are a set of people who work as a dedicated team that would work on predictive modeling. This department would stay in touch with both the visualization and Engineering Team. Some of the very major decisions are taken by this team.
Data Engineering is one of the most important and the toughest tasks that needs to be taken care of.
It is used to keep the data in shape of the desired format, such that it could be easily fetched from data Base. It is shaped in a way which would further ease the analysis part.
All the above departments only if work in co-ordination with each other can successfully complete the tasks and give reliable results.
The Members who work under these departments are usually given the following titles
- Data engineer
- Data scientist
- Data analyst / Business intelligence
- Software engineer / developer
- Project manager/ coordinator
Without the interventions of each other it is not possible for them to even complete their own tasks perfectly.
REASONS WHY DATA SCIENCE IS MAINLY ABOUT TEAM WORK
*Data science requires a variety of expertise in different fields:
Expertise in one field does not make one succeed in creating a mind blowing project which would change the way things work, hence variety of expertise in different field is required.
Curiosity takes one new places in life and gives new ideas, brainstorming develops curiosity and hence helps coming up with new ideas to implement in the project. In the data science field Brainstorming with all departments can help build a procedure to be followed to execute things smoothly and data science is all about following the protocols till the end and getting the desired results.
*Exchange of knowledge
While working in team there is constant exchange of knowledge, this can help in increasing the productivity of individuals. This helps one see the same thing in the aspects of all other team members and this is the key to success.
The above mentioned are some general benefits of working as a team and can be used in all aspects of life.
Not everybody knows everything, but everybody knows something. Only together it is possible to build something big. It’s the same in the case of data science. The above mentioned are some reasons why data science is mainly about team work.