The total annual compensation salary for data scientists in Japan sits at US$70,000. While this amount is specifically for the entry-level, an experienced data scientist in Japan earns up to JPY825,000 every month. The salaries range from JPY421,000 to JPY1,270,000, which is the highest.

Passionate and skilled data scientists want to publish their findings and tell their stories. Be one. Yes, data analysts are required to give presentations! Communication & Presentation is an important skill data analysts need to have.

The presentation is about the career path in the field of Data Science. Data Science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

The average data scientist salary is $100,560, according to the U.S. Bureau of Labor Statistics. The driving factor behind high data science salaries is that organizations are realizing the power of big data and want to use it to drive smart business decisions.

First, data scientists typically work in stressful environments. They may be part of a team, but it’s more frequent that they spend time working alone. Long hours are frequent, especially when you’re pushing to solve a big problem or finish a project, and expectations for your performance are high.

It comes as no surprise that Switzerland has some of the highest salaries in the world. The average wage in Switzerland is of USD 64000 per year. An airline pilot in Switzerland earns around 210000 CHF per year, which is slightly more than USD 230,000.

There aren’t any barriers for data scientists to become a CEO, but they have to prove their skills in each aspect. But they will not have enough time to do data scientist’s work because to be an efficient senior manager, their time and abilities utilize in interacting with peoples.

So, here are top 10 countries that pay the most to Data Scientists, along with the median salaries in $.

• USA $1,12,000.
• Switzerland $1,10,895.
• Norway $87,353.
• Australia $66,499.
• Canada $55,104.
• Germany $54,329.
• South Africa $54,100.
• France $48,933.

Big Cloud’s European Salary Report 2019 lists Germany, UK, France, Netherlands, Spain, Italy, and Switzerland as the top countries to work as a data scientist.

Data scientists at IBM make it easier to work with structured and unstructured data and train models at scale. They make an average salary of Rs 13,50,000 in India.

A Highly Paid Career Data Science is one of the most highly paid jobs. According to Glassdoor, Data Scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.

Data Science as a job title is indeed fading away, which is reasonable as no job is labelled as “Computer Scientist”, either. People graduated in Data Science are working as analysts, machine learning engineers etc. Bottom line: Data Science is growing together with digitalization and intellification of businesses.

No doubt, data science is one among the highest paid jobs across the world. The real struggle lies in converting the raw unstructured data to something that makes sense. The job is critical and thus the salary offered is attractive. Data is humungous and it just doesn’t stop there.

Data scientists are about average in terms of happiness. At CareerExplorer, we conduct an ongoing survey with millions of people and ask them how satisfied they are with their careers. As it turns out, data scientists rate their career happiness 3.3 out of 5 stars which puts them in the top 43% of careers.

The 10 Happiest and Most Satisfying Jobs

• Dental Hygienist.
• Physical Therapist.
• Radiation Therapist.
• Optometrist.
• Human Resources Manager.

In my opinion, the fact that expectation does not match reality is the ultimate reason why many data scientists leave. The company then get frustrated because they don’t see value being driven quickly enough and all of this leads to the data scientist being unhappy in their role.

Data science is reaching the end of its hype cycle and the skills for becoming a data scientist are changing. Besides of fiddling about the best performant machine learning model, it is more important than ever to make data science with business impact.

But that data science is dead. Job titles like Machine Learning Engineer, Artificial Intelligence Engineer, Data Translator, Data Engineer, and Data Scientist (Visualization) have cropped up to solve important business problems that data science was never designed to address.

Does a data scientist code? The answer is yes. Data scientists, for the most part, they’re able to code. If they have a data engineer or a machine learning engineer, that can help them put their code in production and finalize some of the things that they’re doing.