Free Sample
The Complete Guide to Becoming A Data Scientist
The realistic guide to the pay, path, and day-to-day reality of the role — before you spend years or thousands of dollars chasing it
by Alumigogo Books
Chapter 1: What Does a Data Scientist Actually Do?
What Does a Data Scientist Actually Do?
Before you commit years of your life and potentially tens of thousands of dollars to studying statistics, machine learning, and Python, you deserve to know what the job actually looks like on a routine Tuesday. Not the job description from a recruiter — the real thing, with the coffee spills and the boring meetings and the moment when you realize your query has been running for six hours and you need to start over.
Let's strip away the mystery. A data scientist's primary job is to turn raw, messy data into something useful for the business that pays their salary. That sounds simple, but "raw" and "messy" are doing a lot of heavy lifting. In practice, the work splits into a few core responsibilities, and you'll spend your time unevenly across them depending on the company you work for and the industry you're in.
The first and least glamorous responsibility is acquisition and cleaning. This is the part nobody puts in the job poster. You will spend a significant chunk of your early years — and honestly, a good portion of your whole career — getting data from wherever it lives into a usable format. That means writing queries in a language called SQL to pull data from a company's databases. It means dealing with missing values, duplicate records, and columns that are formatted as text when they should be numbers. It means