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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.

Jan Zawadzki
Towards Data Science
9 min readMay 14, 2019

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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.

Photo by Kelly Sikkema on Unsplash

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?

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Towards Data Science
Towards Data Science

Published in Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

Jan Zawadzki
Jan Zawadzki

Written by Jan Zawadzki

CTO & Co-MD CertifAI | Focusing on reliable AI engineering to spearhead the next wave of AI adoption

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