How I Became a Data Scientist at Meta Without A "Perfect" Degree

Author:Murphy  |  View: 25456  |  Time: 2025-03-23 11:55:10

Ever dream of transitioning into Data Science but worry you don't have the right background?

Maybe you think you are behind the competition without a traditional degree?

Or you aspire to work at a big tech company but don't think you are worthy?

If any of these thoughts crossed your mind, you're not alone.

I was in your shoes. And I've spoken with many aspiring data scientists facing the same doubts.

This article is for you – those who want to break into data science without the typical credentials. While it may not answer every question, I hope it gives you clarity and confidence to pursue your dream career.

Here's a glimpse into my journey, broken down into six phases:

  • Discovery
  • Desire
  • Investment
  • First pivot
  • Second pivot
  • Opportunity knocks

Hello there!

I'm Mandy Liu, an ex-Meta data scientist with 8 years' industry experience

Tags: Career Advice Data Analytics Data Science Meta Office Hours

Comment

Recommend

  • ◦ Advice from 15 Top Data Scientists
  • ◦ Explainable Generic ML Pipeline with MLflow
  • ◦ Data Science for Schools, Part 2: Student Electives Allocation with Python
  • ◦ What Is Switchback Testing for Decision Models?
  • ◦ Boosting Model Accuracy: Techniques I Learned During My Machine Learning Thesis at Spotify (+Code
  • ◦ 6 Use Cases in Python Where * and ** Come in Handy
  • ◦ Working with MS SQL Server in Julia
  • ◦ Generate a 3D Mesh of a Geographic Area
  • ◦ Schedule a Python script to run automatically on a Windows Desktop/Azure VM
  • ◦ Lineman Stationarity
  • ◦ 3 Ways to Think Like a (Great) Data Scientist
  • ◦ Importance Sampling with Python