5 Proven Strategies to Break into a Data Science Job

In this video I talk about the 5 main strategies that are proven to land you a data science job. There may be a bonus 6th strategy at the end 😉. 1) Resume drop - I believe this to be the least effective of the 5 approaches. From the data collected at sharpest minds, a data science mentoring company, they found that only 1-2 percent of resume drops actually ended up leading to an interview. This is an extremely low percentage, and this means the average person needs to apply to 50-100 jobs to get just one interview. I personally don’t like these odds. 2) Private job board - An example of this would be using the job platform available from your university as a student or an alum. In most cases, this reduces the amount of applications for each role you apply to. You are no longer competing with the general public, and are now just competing with others from your university. There are also professional organizations or communities that you can be a part of that have private job boards. I would get creative with the job boards you explore and look for startup incubators, vc firms, etc. 3) Recruiter - You can reach out to data science specific recruiters, but often they will reach out to you if you have a been doing projects and sharing your work. Working with a recruiter increases your odds because they have existing relationships with companies and them vouching for you gives you additional social proof. Recruiters also do a lot of the work for you, they find opportunities on your behalf and can sometimes even help you with your resume / application process. 4) In-company transfer - Most companies are interested in the happiness of their employees and also saving money. If you move into a data science role within the current organization, they keep you happy, and they also get to avoid the hiring costs associated with finding a new data scientist. Most people are afraid to ask their boss about exploring new tools and trying to pivot positions. You truly never kn