A person working as Data Scientist in Hong Kong typically earns around 58,100 HKD. Salaries range from 27,300 HKD (lowest) to 91,800 HKD (highest).
This is the average salary including housing, transport, and other benefits. Data Scientist salaries in Hong Kong vary drastically based on experience, skills, gender, or location. Below you will find a detailed breakdown based on many different criteria.
Salaries for the position Data Scientist in Hong Kong range from 27,300 HKD (starting salary) to 91,800 HKD (maximum salary). It should be noted that the given figure is not the legally mandated minimum wage; rather, it represents the lowest figure reported in a salary survey that included thousands of participants and professionals from all regions of the country.
With a median salary of 55,100 HKD, half of the professionals who work as Data Scientist in Hong Kong earn less than this amount, and the other half earn more. The median salary denotes the middle value of salaries. Ideally, you would want to belong to the group earning more than the median salary, located on the right side of the salary distribution graph.
The median is closely associated with two other values known as the 25th and 75th percentiles. By examining the salary distribution chart, it can be determined that 25% of professionals employed as Data Scientist in Hong Kong earn less than 44,600 HKD, while 75% earn more. Similarly, the chart shows that 75% earn less than 63,300 HKD while 25% earn more.
To provide a better understanding of expected salaries, we categorized the frequently occurring salaries into different ranges. This approach provides a more precise representation of salary distribution for the job title Data Scientist in Hong Kong compared to simply calculating the average. The majority of reported salaries, approximately 65%, fall within the range of 33,400 HKD to 48,000 HKD. About 20% of salaries are below the 33,400 HKD mark, while 10% fall within the range of 48,000 HKD to 54,700 HKD. Only 5% of individuals have salaries exceeding 54,700 HKD.
|0 - 2 Years|
|2 - 5 Years||+38%|
|5 - 10 Years||+42%|
|10 - 15 Years||+22%|
|15 - 20 Years||+6%|
The experience level is the most important factor in determining the salary. Naturally, the more years of experience the higher the wage. We broke down salaries by experience level for people working as Data Scientist and this is what we found.
Employees with less than two years of experience earn approximately 31,500 HKD.
While someone with an experience level between two and five years is expected to earn 43,400 HKD, 38% more than someone with less than two year's experience.
Moving forward, an experience level between five and ten years lands a salary of 61,800 HKD, 42% more than someone with two to five years of experience.
Additionally, professionals whose expertise span anywhere between ten and fifteen years get a salary equivalent to 75,300 HKD, 22% more than someone with five to ten years of experience.
If the experience level is between fifteen and twenty years, then the expected wage is 79,500 HKD, 6% more than someone with ten to fifteen years of experience.
Lastly, employees with more than twenty years of professional experience get a salary of 86,600 HKD, 9% more than people with fifteen to twenty years of experience.
We all know that higher education equals a bigger salary, but how much more money can a degree add to your income? We broke down salaries by education level for the position Data Scientist in order to make a comparison.
Employees at this education level have an average salary of 40,200 HKD.
At this level, the average salary becomes 62,100 HKD, 55% more than the previous level.
At this level, the average salary becomes 82,800 HKD, 33% more than the previous level.
A Master's degree program or any post-graduate program in Hong Kong costs anywhere from 183,000 HKD to 549,000 HKD and lasts approximately two years. That is quite an investment.
You can't really expect any salary increases during the study period, assuming you already have a job. In most cases, a salary review is conducted once education is completed and the degree has been attained.
Many people pursue higher education as a tactic to switch to a higher-paying job. The numbers seem to support the theory. The average increase in compensation while changing jobs is approximately 10% more than the customary salary increment.
If you can afford the costs of higher education, the return on investment is definitely worth it. You should be able to recover the costs in roughly a year or so.
Though gender should not have an effect on pay, in reality, it does. So who gets paid more: men or women? For the people who work as Data Scientist in Hong Kong, the average difference between the salary of male and female employees is 9%.
Individuals working as Data Scientist in Hong Kong are likely to observe a salary increase of approximately 8% every 29 months. The national average annual increment for all professions combined is 4% granted to employees every 29 months.
The term Annual Salary Increase usually refers to the increase in 12 calendar month period, but because it is rare that people get their salaries reviewed exactly on the one-year mark, it is more meaningful to know the frequency and the rate at the time of the increase.
The annual salary Increase in a calendar year (12 months) can be easily calculated as follows: Annual Salary Increase = Increase Rate x 12 / Increase Frequency
Listed above are the average annual increase rates for each industry in Hong Kong for the year 2022. Companies within thriving industries tend to provide higher and more frequent raises. Exceptions do exist, but generally speaking, the situation of any company is closely related to the economic situation in the country or region. These figures tend to change frequently.
Not all compensation increases are reflected directly in the salary. Some companies offer upgraded packages to their staff instead of cash money. The figures displayed here account only for direct increments to the base salary.
58% of surveyed staff reported that they haven't received any bonuses or incentives in the previous year while 42% said that they received at least one form of monetary bonus.
Those who got bonuses reported rates ranging from 2% to 7% of their annual salary.
The most standard form of bonus, where the employee is awarded based on their exceptional performance.Company Performance Bonuses
Occasionally, some companies like to celebrate excess earnings and profits with their staff collectively in the form of bonuses that are granted to everyone. The amount of the bonus will probably be different from person to person depending on their role within the organization.Goal-Based Bonuses
Granted upon achieving an important goal or milestone.Holiday / End of Year Bonuses
These types of bonuses are given without a reason and usually resemble an appreciation token.
People tend to confuse bonuses with commissions. A commission is a prefixed rate at which someone gets paid for items sold or deals completed while a bonus is in most cases arbitrary and unplanned.
The main two types of jobs
|Revenue Generators||Supporting Cast|
Employees that are directly involved in generating revenue or profit for the organization. Their field of expertise usually matches the type of business.
Employees that support and facilitate the work of revenue generators. Their expertise is usually different from that of the core business operations.
Revenue generators usually get more and higher bonuses, higher salaries, and more frequent salary increments. The reason is quite simple: it is easier to quantify your value to the company in monetary terms when you participate in revenue generation.
Top management personnel and senior employees naturally exhibit higher bonus rates and frequencies than juniors. This is very predictable due to the inherent responsibilities of being higher in the hierarchy. People in top positions can easily get double or triple bonus rates than employees down the pyramid.
|Average Salary 2019|
|Average Salary 2020||+3%|
|Average Salary 2021||+2%|
|Average Salary 2022||+2%|
Salaries for individuals working as Data Scientist in Hong Kong are on the rise in the year 2023 based on recently submitted salaries and reports. The trend suggests a slow yet continuous increase in pay in 2024 and future years. These numbers may vary from one industry to another.
The hourly wage is the salary paid in one worked hour. Usually, jobs are classified into two categories: salaried jobs and hourly jobs. Salaried jobs pay a fixed amount regardless of the hours worked. Hourly jobs pay per worked hour. To convert salary into hourly wage the above formula is used (assuming 5 working days in a week and 8 working hours per day which is the standard for most jobs). The hourly wage calculation may differ slightly depending on the worked hours per week and the annual vacation allowance. The figures mentioned above are good approximations and are considered to be the standard. One major difference between salaried employees and hourly paid employees is overtime eligibility. Salaried employees are usually exempt from overtime as opposed to hourly paid staff.
The minimum pay rate per hour for people working as Data Scientist in Hong Kong is 160 HKD. This is the minimum as per the gathered data in the salary survey not the minimum hourly rate mandated by law.
|Job Title||Average Salary|
|3D Lab Technologist||32,700 HKD||-44%|
|Algorithm Developer||45,800 HKD||-21%|
|Analytical Chemist||62,800 HKD||+8%|
|Assistant Breeder||22,200 HKD||-62%|
|Atmospheric and Space Scientist||65,100 HKD||+12%|
|Behavior Analyst||41,700 HKD||-28%|
|Behavior Intervention Specialist||45,900 HKD||-21%|
|Biofuels Processing Technician||27,300 HKD||-53%|
|Biofuels Production Manager||48,200 HKD||-17%|
|Biomedical Scientist||78,300 HKD||+35%|
|Chemical Engineer||34,700 HKD||-40%|
|Chemical Technologist||33,200 HKD||-43%|
|Chief Technologist||62,500 HKD||+8%|
|Climate Change Analyst||44,600 HKD||-23%|
|Clinical Laboratory Scientist||72,200 HKD||+24%|
|Computer Scientist||53,000 HKD||-9%|
|Conservation Scientist||62,100 HKD||+7%|
|Data Scientist||58,100 HKD||+0%|
|DNA Analyst||69,500 HKD||+20%|
|Economic Development Specialist||52,500 HKD||-10%|
|Food Scientist||48,900 HKD||-16%|
|Forensic Scientist||58,800 HKD||+1%|
|Formulation Technologist||27,000 HKD||-54%|
|Fraud Investigator||36,200 HKD||-38%|
|Genomics Scientist||73,800 HKD||+27%|
|Geographic Information Systems Technician||25,000 HKD||-57%|
|Geological Data Technician||24,600 HKD||-58%|
|Geological Technician||30,700 HKD||-47%|
|Geomatics Scientist||57,100 HKD||-2%|
|Geophysical Data Technician||23,100 HKD||-60%|
|Geospatial Information Scientist and Technologist||53,400 HKD||-8%|
|Industrial Ecologist||52,600 HKD||-9%|
|Intelligence Analyst||44,400 HKD||-24%|
|Knowledge Management Specialist||36,500 HKD||-37%|
|Laboratory Manager||51,700 HKD||-11%|
|Laboratory Researcher||34,100 HKD||-41%|
|Laboratory Technician||22,300 HKD||-62%|
|Life Sciences Analyst||47,800 HKD||-18%|
|Life Scientist||57,100 HKD||-2%|
|Marine Architect||46,300 HKD||-20%|
|Marine Biologist||49,700 HKD||-14%|
|Marine Superintendent||28,900 HKD||-50%|
|Materials Analyst||31,700 HKD||-45%|
|Materials Scientist||54,300 HKD||-7%|
|Medical Scientist||75,800 HKD||+30%|
|Natural Language Processing Researcher||43,800 HKD||-25%|
|Natural Resource Specialist||39,700 HKD||-32%|
|Natural Sciences Manager||73,000 HKD||+26%|
|Nuclear Engineer||76,900 HKD||+32%|
|Physical Scientist||57,400 HKD||-1%|
|Political Scientist||54,400 HKD||-6%|
|Polygraph Examiner||19,100 HKD||-67%|
|Polysomnographic Technologist||32,500 HKD||-44%|
|Product Development Scientist||56,400 HKD||-3%|
|Quantitative Research Analyst||51,200 HKD||-12%|
|Quantitative Researcher||51,100 HKD||-12%|
|Radiation Protection Specialist||41,200 HKD||-29%|
|Refrigeration Technician||16,400 HKD||-72%|
|Research Scientist||49,800 HKD||-14%|
|Risk Safety Engineer||33,100 HKD||-43%|
|Scientific Photographer||31,200 HKD||-46%|
|Scientific Programmer||44,100 HKD||-24%|
|Service Engineer||32,700 HKD||-44%|
|Service Technician||21,500 HKD||-63%|
|Social Science Research Assistant||31,300 HKD||-46%|
|Social Scientist||57,700 HKD||-1%|
|Soil Scientist||46,500 HKD||-20%|
|Statistical Analyst||32,000 HKD||-45%|
|Statistical Assistant||23,300 HKD||-60%|
|Survey Analyst||30,500 HKD||-47%|
|Survey Researcher||28,300 HKD||-51%|
|Surveying and Mapping Technician||19,200 HKD||-67%|
|Team Leader||47,100 HKD||-19%|
|Technical Manager||50,900 HKD||-12%|
|Technical Officer||22,400 HKD||-61%|
|Technical Service Director||66,200 HKD||+14%|
|Technical Services Regulatory Affairs Specialist||32,600 HKD||-44%|
|Technical Services Research and Development Manager||74,800 HKD||+29%|
|Technical Services Research Coordinator||35,800 HKD||-38%|
|Water Ecologist||60,300 HKD||+4%|
|Wildlife Biologist||49,100 HKD||-15%|
Where can you get paid more, working in a private company or the government? The difference between the public or government sector salaries and the private sector salaries in Hong Kong is 10% on average across all career fields.
A good and competitive compensation would range anywhere between 55,100 HKD and 63,300 HKD. This is a very rough estimate. Experience and education play a very huge part in the final earnings.
All salary and compensation figures displayed here are gross salary figures, that is the salary before tax deductions. Because taxes may differ across sectors and locations, it is difficult to accurately calculate the net salary after tax for every career.
The base salary for a careers like Data Scientist in Hong Kong ranges from 44,600 HKD to 63,300 HKD. The base salary depends on many factors including experience and education. It is not easy to provide a figure with very little information, so take this range with a grain of salt.
Both are indicators. If your salary is higher than both the average and the median then you are doing very well. If your salary is lower than both, then many people earn more than you and there is plenty of room for improvement. If your wage is between the average and the median, then things can be a bit complicated. We wrote a guide to explain all about the different scenarios. How to compare your salary
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