There are several reasons for becoming a data scientist. I am going to highlight five main reasons I became a data scientist, and hopefully, it can align with some of the reasons why you would become one as well.
Variety of Skills
As with many positions that have any general set of expected skills, data science is no exception, and can usually be thought to have these skills that I will outline below. Of course, there are others, but I will focus on the skills I come across the most at various companies as a data scientist.
- Python (R)
— the heavily debated Python versus R is usually controversial, but ultimately, it just depends on what the company is already using as their main programming language. Sometimes, data scientists can work alone and form models and output results directly to a stakeholder, and usually refer more to R in this case. However, in my experience, it has been easier to work cross-functionally with both data engineers and software engineers with the use of Python. This language is oftentimes used for deployment purposes, so, it can be easier to start with Python from the start. The benefit is that in the process of learning data science, you will learn Python or R, which will help you earn a variety of skills that can support you better down the road if you chose a different career path such as software development.
You need to know that stakeholders, CEO’s, C-Suite/higher leadership, will ask what you will do with your results to change the business. So in turn, you would want to apply those customer segmentation groups to a marketing campaign through various, targeted emails. Then, you would create a test of some sorts to see how the emails performed, say with an AB test. As you can see, just having an extremely accurate model is just one part of the data science and business process. Practicing this business process over and over again is extremely beneficial.
- Small Headcount
After working as a data scientist at multiple companies, it has become clear that even just one project can impact a business indefinitely with significant benefits.
The impact a data scientist can make is outstanding. You can automate previously manual processes, saving the company thousands or even millions of dollars. You can save your company time, and allocate time better spent. The projects you will work on are various in nature and importance.
For example, I worked on a project that automated a large portion of a manual process, with high accuracy. It was truly amazing to feel how impactful you can be on the business. The best feeling, however, is the impact you can make on society, health, etc. There are countless ways to have a positive impact on something with data science, and your day-to-day work is no exception.
If you like to work from home, then data science will be an excellent opportunity for you. There are severe tools and platforms that aid in creating a successful environment without a physical office. You can use video conferencing, messaging, and project management as well as versioning tools. Tools include, but are not limited to:
* Zoom * Slack * GitHub * Jira * Confluence
According to Glassdoor , the average base pay for a data scientist is $113,309 / yr.
Of course, there are variants between states and even cities in those states, so you can expect different ranges depending on where you live. Some companies offer large bonuses annually as well. Because your role is incredibly impactful, you can also expect shares or stocks in a company at some companies.
Additionally, depending on the job description or job functionality, you can expect variations in salary. Points to consider when negotiating for a data scientist salary include, but are not limited to:
- skills (SQL, Python, R, etc)
- who you report to
- undergraduate or master’s/Ph.D. required
- years of experience
- machine learning expected/deployment
- data engineering expected
Photo by Patrick Perkins on Unsplash .
As you can see, there are several reasons for becoming a data scientist, especially in 2020. The top five reasons to become a data scientist are: the variety of skills you will learn along the way, uniqueness in your company, impact on your company, remote — work from home, and pay. Data science may not go away for a while and could very well become even more of a popular career. It is important to keep in mind that there are branches of data science like business intelligence, software engineering, and machine learning that are also great careers. Hopefully, you will become a data scientist, and will at least experience these five beneficial reasons for yourself.
I hope you found this article interesting and useful. Thank you for reading! Feel free to comment down below your experience or reach out to me!
 Photo by Csaba Balazs on Unsplash, (2018)
 Glassdoor, Data Scientist Salary, (2008–2020)
 Photo by Patrick Perkins on Unsplash, (2020)
“The Top 5 Reasons to Become a Data Scientist”– Matt Przybyla Tweet