1 Introduction

 

This chapter covers

  • The stages of the selection process and how to shine at each
  • The five skillsets of a data scientist
  • How and when to demonstrate your skills in the job-hunting process
  • Using Large Language Models (LLMs) such as ChatGPT to improve interview results

If you are looking for a data science job, this book will aid you in several ways. First, it will help you improve your whole approach to job hunting. Part 1 of the book shows you how to craft a resume that will get you noticed, handle screening calls so you get an interview, and navigate all the other steps leading up to the job interview. Second, this book will help you prepare for the specific questions, drills, and assessments you'll encounter after you land the interview. Parts 2 and 3 provide sample questions—with extended answers—that you will likely get in any data science job interview. In all three Parts, this book will introduce ways to use Large Language Models (LLMs) such as ChatGPT to help you be more efficient and better prepared for every stage of the job-hunting process—from improving your resume to rehearsing your interview questions.

1.1 The selection process workflow

1.2 Data science skills and job-hunting steps

1.2.1 The five skillsets

1.2.2 The job-hunting steps

1.2.3 Problem solver skills

1.2.4 Scientific skills

1.2.5 Statistics and machine learning skills

1.2.6 Data programming skills

1.2.7 Communication skills

1.3 The AI-enhanced data science job-hunting machine

1.3.1 LLMs privacy concerns

1.3.2 LLMs knowledge limitations

1.3.3 AI Misuse

1.4 Summary