3 ways to save time when starting your career in tech

22nd April 2019


There has been a major change in tech.

Tech used to be limited to computer science grads in California but now includes 15-year-olds self-teaching or professionals learning to code their full-time job. The shift proves that skills are not about degrees but the value a person can bring to a company.

The next question we can then ask is how can we focus on providing value as quickly as possible to get hired.

Here are 3 techniques to speed up your career in tech

1. Deeply understand the employer’s problems
Every company has a different reason for existing:
Uber: make transportation available as water
Facebook: connect the world
Google: organise the world’s information

A different mission brings different problems; Facebook might need graph database engineers, Uber forecasting data scientists, and so on.

By studying a company’s problems, you can create a roadmap on what to learn and more importantly what not learn.
One of the most common traps that new folks fall for is not applying because they don’t feel ready. So they spend months reading before they quit. By knowing exactly what to learn, you save time by knowing when to stop and start applying.

2. Create a proof of your work
Once you have an idea of the problems that a company has, you can show them you are the person that can solve them. Historically, this proof of work has been limited to college degrees and work experience. This is now becoming less and less true.

Companies like hackerrank.com, kaggle.com, or leetcode.com can test your skills and show the scores to employers.

You can also take this into your own hands by creating an application and portfolio site that lets your employer experience your skills.

Proof of work makes it undeniable to an employer about the value that you bring.

3. Share tactically
The last step is to show your value to the right people. The most common and least effective way is to apply online or via Linkedin. Most likely your CV will be seen by a non-technical person.

Instead, target decision makers that understand your work. This can be done by directly emailing managers or directors.

All you need is a tool like hunter.io plus the name of the employer and company to get work emails. You will be surprised that if you did you due diligence, they will be happy to answer your emails.

If I would add a final principle it would be to execute. These are principles that require more work upfront and less in the long run. 

Read also: How to develop a Data Science platform upon Kubernetes

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Fernando Hidalgo

A Data Scientist that has worked with Discovery Communications and Prismoji. Top Data Science writer in Quora with posts that have received over 370K views. He is passionate about building machine learning products and democratizing data science education.

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