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Becoming a Level 3.0 Data Scientist
Want to be a Junior, Senior, or Principal Data Scientists? Find out what you need to do to navigate the Data Science Career Game.
Companies are hiring Data Scientists on three levels: Junior, Senior, or Principal. Whether you’re just getting started with Data Science or looking to switch careers, you will inevitably find yourself on one of these levels.
This post aims to shed light on what’s expected and what’s outside of the scope of each Data Science Career Level. While companies might have different job titles, this post provides a general baseline. Furthermore, the post concludes with hands-on tips on how to prepare your career for the switch into AI or the well-deserved promotion.
Let’s level up. 🎚
The Data Science Skills Matrix
A Data Scientist is expected to have knowledge in three areas: Statistics, Engineering, and Business. However, you’re not expected to master all three areas right from the get-go. Which skills should you focus on when seeking an entry-level position? Which skills become more important as you progress through the career ladder?