The future is here, Are you ready?

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 Roles and Responsibilities of a Project Manager

The PM manages the different project management knowledge areas and processes. This involves several tasks. A few examples are as follows:

1. He/she needs to work closely with the project sponsor to set the strategic directions for the project.
2. The PM needs to manage the expectations of various stakeholders proactively.
3. The PM needs to manage the project scope proactively. He/she needs to plan the project. This includes all the critical aspects like 2. 3.
4. estimation, schedule, technical environment, human resources, risks, budget, etc.
5. While the PM wouldn’t necessarily code data science programs, he/she needs sufficient technical depth. A data science project might 3.
6. involve various approaches. The project team needs to choose the best alternative, which requires essential debates and 3. 3. 3. 3. 3.
7. brainstorming. The PM needs enough technical knowledge to oversee such debates and discussions.
8. The PM needs to coach the project proactively. This helps the team to meet the scope, budget, and quality requirements.
9. Data science projects have high visibility. Whether they are internal or external, customers can be demanding. The PM needs to

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: