The top five emerging jobs in Singapore today are data scientist, cyber security specialist, user experience designer, head of digital, and content specialist. As the demand for digital talent continues to rise, jobs in data science have grown by 17X between 2013 to 2017. And along with that spike, salaries of professionals working in this field have also steadily climbed.
Our team at impress.ai has created a salary guide for data scientists in Singapore, which outlines everything you need to know from the average salary to the factors involved in getting that next big pay bump:
What is the average data scientist salary in Singapore?
According to PayScale, The average pay for a data scientist in Singapore is S$72,109 per year. The typical salary ranges from S$45,325 – S$112,491, with an additional bonus ranging from S$1,007 – S$20,204. Most corporates also offer employees health benefits; 87% cover medical, 34% cover dental, and 14% cover vision.
What variables affect my salary as a data scientist?
The most common factors that determine how much you get paid include years of experience, skills, and sector. For example, the average annual salary of a junior data scientist is S$59,480, whereas a mid-level data scientist earns S$104,626, and a senior data scientist could earn S$136,783.
What tools should data scientists know to get paid more?
The tools that data scientists know how to use also play a crucial role in compensation. Using big data tools like Scala and Spark could add $15,000 to your salary. And negotiation often leads to a 7% bump in salaries–even though 18% of all people never negotiate their salaries.
Top tools data scientists in Singapore should know to get a higher salary:
According to O’Reilly’s Data Science Survey:
- Learn Spark and Scala: could add up to S$15,000 to your salary
- Become comfortable with cloud computing, especially Amazon Web Services: boost of about S$6,000 in annual salary
- Familiarise yourself with open source tools and stay away from proprietary tools
- Become versatile and learn how to use many tools (aim for 15+): could add up to S$30,000 to your annual salary
The main takeaway from the O’Reilly Study is that there are nine main clusters of tools that data scientists use everyday, ranging from the Hadoop ecosystem to the open source environment, to Python, and the closed Microsoft SQL cluster. Most data scientists learn tools within a cluster, as the tools complement one another within. Professionals who tend towards closed Oracle and Microsoft tools will earn less, while those who flock to open source clusters are likely to earn more.
How does industry impact my salary as a data scientist?
Apart from companies in the search and social networking space, consulting companies like Accenture pay data scientists well.