Are you undertaking a data science project? Such projects can be complicated, and therefore you need a competent team. You need to conduct thorough interviews to hire people. However, you first need clarity over the job roles and skillsets in a data science project. Alternatively, are you planning to build a career in the data science space? You need to understand the job roles and skillsets you should focus on. We explain the data science job roles and skillsets in this article, and they are as follows:
A project manager (PM) acts as the glue that holds a data science project together. The PM role carries plenty of importance in any project. However, data science projects tend to be complicated. This increases the importance of a competent project manager in such projects.
The PM manages the different project management knowledge areas and processes. This involves several tasks. A few examples are as follows:
You would want BAs that have a formal degree in business administration. Depending on your project, you might need BAs with specialization in a domain. For example, you might need BAs with specialization in sectors like banking, healthcare, energy, etc.You need relevant data in your data science project that’s worth using. You might get large datasets. However, you might be able to use them only after much processing. This is where data analysts enter the scene.
You would want BAs that have a formal degree in business administration. Depending on your project, you might need BAs with specialization in a domain. For example, you might need BAs with specialization in sectors like banking, healthcare, energy, etc.You need relevant data in your data science project that’s worth using. You might get large datasets. However, you might be able to use them only after much processing. This is where data analysts enter the scene.
DBA skillsets are particular. Depending on the labour market in your region, these skills could be niche. DBA needs the following skills: