How to Build the Perfect CV to Land a Data Science Role. In this post, you’ll find expert tips, examples, and takeaways to make a resume that’s good enough for the job you really want.
Looking to make your data scientist resume more attractive to employers?
You’re in the right place.
In this post, you’ll find expert tips, examples, and takeaways to make a resume that’s good enough for the job you really want.
Let’s begin by becoming a data science recruiter for a moment.
To stand out from the pile of other resumes and catch the attention of employers, we need to know what they’re looking for in candidates.
According to 9 Must-Have Skills You Need to Become a Data Scientist, these are the most important skills that attract employers:
So, as someone interested in hiring a data scientist, you’ll be more likely to look for these skills in the resume.
This brings us right to the first tip...
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
They say, the first impression is the last, and thus resumes are the first impression of any professionals including data scientists while searching for a job.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
If Machine Learning is a dish, then linear algebra, programming, analytical skills, statistics, and Algorithms are the primary recipes of Machine Learning.