A Day in the Life of a Data Scientist (2024 Guide)
Have you ever wondered what a typical day in the life of a data scientist looks like?
Do you often hear about this popular profession and you are curious to know what it's like to work in one of the most advanced and high-paying professions of the future?
If you answered yes to these questions and want to jumpstart your data science career, but want a little more information to get a more complete picture, this guide is for you!
More specifically, in today's article we will see:
- What data science is
- What a typical day in the life of a data scientist looks like
Before we dive in, let's start with the basics.
What is Data Science?
Data science is a rapidly growing field that utilizes a wide range of scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data.
It uses techniques from statistics, computer science, and domain knowledge to extract information and evidence from data.
It also includes working with large and complex data sets (also called “big data”), as well as tools and programming languages used for data analysis, such as Python and R.
We understand that this is a multidisciplinary field used to understand and make predictions about complex systems.
It has applications in a wide range of fields, from finance to marketing and healthcare.
So after we have seen some basic things about data science, let's see in more detail and in stages what a data scientist deals with in their day-to-day work.
What Do Data Scientists Do in their Day-to-Day?
Next, we have compiled in simple step-by-step what a day in the life of a data scientist looks like.
1. Morning
A data scientist starts their day energetically by opening their emails to see if they have a new notification or a meeting they need to attend.
After they make a plan of the tasks they need to finish during the day, they are informed about important news or developments in their field of work.
They then set their daily goals based on tasks assigned to them by the data science manager.
2. Late morning/ early afternoon
Going about their day, the data scientist proceeds to explore and analyze the data in order to find valuable insights that will serve them further.
This is followed by gatherings and collaboration with the rest of the data team, where data scientists discuss current projects, share insights, and collaborate with colleagues.
While working with the team, the data scientist provides updates on their project, shares critical information, and collaborates to solve problems that may arise.
3. Afternoon
During the afternoon, the data scientist deals with thorough data cleaning and data pre-processing.
The data scientist meticulously cleans and formats the data to eliminate errors, outliers, and inconsistencies, ensuring that the data is ready for analysis.
They then proceed to model development using machine learning and AI.
They experiment with various algorithms, fine-tune parameters, and carefully evaluate model performance through measurements and validation techniques.
At the same time, they actively participate in the evaluation of the code, where they can propose changes if they deem it necessary.
4. Late afternoon/ evening
In the afternoon, the data scientist deals with building data pipelines, but also experimenting with various new tools.
Confluence and Jira are some of the primary collaboration tools a data scientist uses for documentation and project management.
5. End of day
At the end of the day, a data scientist, before finishing their work, makes a wrap-up of their tasks, closes any outstanding and creates a plan for the next day.
At the same time, they may attend a team meeting, for example via Google Meet, where among the participants are the company's stakeholders to whom they provide reports and visualizations to convey their findings.
In a Nutshell
In today’s guide, we took a closer look at what exactly data scientists do on their day-to-day.
So if you're involved in this subject and want to enrich your knowledge, read more related articles on our blog!