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Data Scientist Salary and Equity in Melbourne 2026
How much does a Data Scientist expect to make at Melbourne-based startups? The average expected salary for Data Scientists in Melbourne-based startups is 145k per year, with a range from 108k to 276k. These amounts were gathered from Wellfound self-reported data and represent the median salary range. The salary range for Data Scientists in Melbourne startups varies depending on factors such as industry, experience, skills, and startup stage.
145.1k
Average Salary
6 years
Average years of experience
Salary
The average salary for a Data Scientist in Melbourne is $145,125, which is 37.0% higher than the average Melbourne startup salary of$105,917. Data Scientist salaries in Melbourne are based on exclusive Wellfound data. All data is updated on a weekly basis. Factors that may influence salary include: years of experience, title, size of company, skill-set, and industry.
Top of market
$216,125/yr
Range $169k - $276k
Average
$145,125/yr
Range $118k - $169k
Below Average
$113,750/yr
Range $108k - $118k
Industries
The highest average salary a Data Scientist in Melbourne can get in Manufacturing, that is $114,500. This pay is 0.0% lower than the average Data Scientist salary in Melbourne, which is $114,500. The highest-paying industries in 2023 are: Manufacturing (avg $114,500 per year).
Tech Stack
The highest average salary a Data Scientist in Melbourne can get with Python, that is $112,500. This pay is 6.2% higher than the average salary in Melbourne startups, which is $105,917. Salary range for specific skills will vary based on the supply and demand in the current market.
Top Tech Stacks
The top-paying Data Scientist skills in Melbourne of 2026 are:
1. Python
$112.5k
2. SQL
$112.5k
Years of experience
Below Average
Average
Top of Market
The highest average salary a Data Scientist in Melbourne can get with 4-6 years of experience, that is $141,000. This pay is 33.1% higher than the average salary in Melbourne startups, which is $105,917. The salary range varies with years of experience and depends on other factors such as skill set, size of company, and industry.
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