Data science is widespread and the most-friendly remote job. Many companies turn to remote workers with the growing demand for data scientists, and others do not want to risk getting a return to work wrong. Companies like Amazon, Facebook, and IBM have all seen success with this model. Not only do remote data scientists make a significant impact on their teams, but they also help reduce costs in the long run. If you’re looking to follow in these companies’ footsteps, here are some of the benefits of doing a remote data science job.
You will save some money, aka Cost-effective.
No matter the size of your company, it is beneficial to reduce your operating cost. One of the reasons companies hire remote data scientists is to save money. On average, remote data science jobs cost 45% less than in-office positions. American express saved over $10M on the office-related cost by encouraging their staff to work from home. It is cost-effective as you’re not paying for office space and the relocation costs that come with it.
With a remote position, employees will spend less time commuting to work, which means they will have more free time to spend with their family and friends. But whether this leaves them with more time to focus on their job depends on the employee, organisation and other factors. In a future article, I will discuss working from home effectively.
Increases productivity
A remote data science job can increase productivity. Remote data scientists working from home avoid long commutes and traffic jams. The UK Research partnership research – show that 88.4% of employees believed they completed their jobs as much as they did pre-lockdown. They get to set their schedule and work from home when they need to. The report also suggested organisations benefit, as the employees spent more time on the job even though on a flexible schedule.
Working from home could improve people’s lives. The American Psychological Association reported that working from home improves employee productivity, morale and creativity. For some people, it helps them achieve a work-life balance.
It brings the best in you.
When you’re working remotely, you’ll have more control over your work. You can set your hours and use your natural energy to get the most out of the day. With this autonomy, you’ll be able to focus on the task at hand, meaning that you’ll have more time to produce quality work, which benefits any company that hires you. It also means that you don’t have to worry about distractions or office politics. Furthermore, if a company goes away or downsizes in the future, remote employees are far less likely to be laid off than those stuck in an office every day.
Motivation usually increases when employees work in an environment that inspires energy, and in return, they bring out the best version of themselves.
Improved health and well-being
As a remote worker, you can take your company’s best practices with you wherever you go. It includes working out, eating healthy, and getting enough sleep. Remote work can help improve your health and well-being even more than the traditional office job.
According to 2014 studies by the PGi, there was lower absenteeism by remote workers (69%) compared to non-remote employees, and 80% reported high morale. Reducing travel hours helps retain more time to have an active and healthy lifestyle, lowering overall stress levels. Both working patterns have their benefits which led to a report by Gartner that the hybrid approach, which allows employees to combine both remote and non-remote, will become a norm.
It is flexible
Remote data science jobs offer much flexibility. Increased flexibility always lead to more creativity and greater productivity. Because of these, Companies like Microsoft issued statements that they will permanently offer employees greater flexibility. If you’re the type of person who likes to work at home, or if you want to travel for a few months and take on a remote data science job, this is an excellent opportunity for you. You are responsible for your schedule and where you work. In a hybrid structure, it’s possible to work from home one week and then go back to the office the next.
Additionally, remote data scientists have the freedom to spend time at their own pace. Someone working remotely can take care of their personal needs without worrying about getting in the way of their job responsibilities. For example, someone living with some medical condition can work from home or with children during certain day hours. Because they are working remotely, they can do these things without impacting their productivity at work.
Conclusion
Data science is a growing field and is becoming more and more crucial to the success of any business. That’s why I wrote this article for anyone who has ever thought about doing a data science job remotely.
With the amount of time and money you’ll save, the flexibility you’ll have, the better health and well-being you’ll experience, and the productivity you’ll have, it’s easy to see why remotely doing a data science job is a great idea.
Next week, I will discuss data science for social good, improving our community with data.
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