Three Methods To Get Internal Referrals For Data Science Positions
Data science roles are quite competitive as it attracts a lot of people due to several reasons such as high paying salary, impact, and interesting working tasks on daily basis. The most difficult part of landing a job is finding a way to pass the application screening successfully. The first way is to capture the attention of recruiters, and that’s no easy feat! This will happens if you have a standing-out resume and portfolio. You can check these two articles for this: How I Got 15 More Data Science Interviews in One Month? and Hiring Manager Tips To Land Your First Data Science Job.
But there’s an alternative way to skip this step completely through internal referrals. An internal referral is to get referred or recommended to the company you are applying to through one of their current employee. Internal referrals will not only facilitate your hiring process but will also help you to improve as you will likely get constructive feedback. Internal referrals are the fastest way to get interviews in tech and are proven to improve your chance of an offer by 55%. In this article, I will discuss three granted methods to get internal referrals, especially for data science positions which are: cold emails, networking, and referral services.
