There are a number of reasons why data scientists may be quitting their jobs. First, the field of data science is still relatively new, so there is a lot of turnovers as people move in and out of the field. Second, data scientists are in high demand, so they may be quitting their jobs to move to another company that offers better pay or benefits. Finally, data scientists may be quitting their jobs because they are burned out from working long hours and dealing with complex data sets.

Job dissatisfaction among data scientists

• It's no secret that the job market for data scientists is extremely competitive. Companies are constantly looking for talented individuals with the skills and experience to help them make sense of the massive amounts of data they collect on a daily basis.
• However, despite the high demand for data scientists, a recent study has found that nearly 60% of them are dissatisfied with their current jobs. So why are so many data scientists unhappy with their career choice?
• There are a number of reasons why data scientists may be dissatisfied with their jobs. First and foremost, the job market is extremely competitive and the hours can be long and stressful. Data scientists are often required to work on projects that are outside of their comfort zone and may not have the opportunity to use their skills to their full potential.
• In addition, many data scientists are not properly compensated for their skills and experience. While the average data scientist's salary is around $85,000, the top 10% of earners make an average of $165,000. This means that there is a significant disparity between the top earners and the rest of the data scientists, which can lead to feelings of frustration and resentment.

Changes in the Company

• Another common reason for data scientists to leave their jobs is a change in the company. This can be due to a change in the company's focus, a downsizing of the data science team, or even a change in management. In some cases, data scientists may feel that their skills are no longer needed by the company or that the company is no longer a good fit for their career.
• Whatever the reason, it is clear that many data scientists are choosing to leave their current positions. While there are many reasons for this, the two most common seem to be a lack of job satisfaction and a change in the company.

Lack of career growth opportunities

• The data science community is growing rapidly. According to a recent report, the demand for data science skills will increase by 28% by 2020. However, there is a lack of career growth opportunities for data scientists.
• There are several reasons for this. Firstly, data science is a relatively new field and there are not many senior positions available. Secondly, data scientists are in high demand and can easily find jobs that offer better pay and benefits. Finally, many data scientists are not interested in management positions and prefer to stay in their technical roles.
• This lack of career growth opportunities can be frustrating for data scientists. Many are highly skilled and qualified individuals who want to progress in their careers. However, they are often stuck in junior positions with little room for advancement.
• There are a few ways to overcome this issue. Firstly, data scientists can try to find companies that are willing to invest in their development. Secondly, they can seek out mentors who can help them navigate the data science landscape. Finally, they can stay up-to-date with the latest trends and technologies so that they are better prepared for the future.

Poor working conditions

• There are a number of reasons why data scientists may be quitting their jobs. One reason could be poor working conditions. Poor working conditions can include a number of different things, such as long hours, low pay, and a lack of job satisfaction.
• Long hours are often a requirement in data science jobs. Data scientists may be expected to work long hours in order to meet deadlines or to complete a project. This can be a problem for data scientists who have families or other commitments outside of work.
• Low pay is another potential reason why data scientists may be quitting their jobs. Although data science is a high-paying field, there are still some data scientists who are paid relatively low salaries. This can be a problem for data scientists who have a lot of student loan debt or who live in high-cost-of-living areas.
• Finally, a lack of job satisfaction can also lead to data scientists quitting their jobs. Data scientists may be unhappy with their current job for a number of reasons, such as a lack of interesting work, a poor working environment, or a lack of career advancement opportunities.

Low pay

• There are a few reasons why data scientists are quitting their jobs, but one of the main reasons is low pay.
• A recent survey by O'Reilly found that the median salary for data scientists is $105,000, which is lower than the median salary for software engineers ($110,000) and other tech jobs.
• Data scientists are also quitting because they're not getting the resources they need to do their job, and they're not seeing the impact of their work.
• The O'Reilly survey found that only 33% of data scientists feel they have the resources they need to do their job, and only 29% feel their work has a high impact on the company.
• These are both major reasons why data scientists are quitting their jobs. If you're not being paid enough or you don't feel like your work is having an impact, it's only natural to want to find a new job.
• If you're a data scientist who is thinking about quitting your job, I would encourage you to first talk to your manager about your concerns. If your manager is unresponsive or doesn't seem to care about your concerns, then quitting might be the best option for you.
• But, if you love your job and you're just looking for a raise, I would encourage you to negotiate with your employer. O'Reilly's survey found that only 38% of data scientists who asked for a raise got one, so it's definitely worth a try!