Algorithm Developer
83 189 € (EUR)/yr
39,99 € (EUR)/hr
3 719 € (EUR)/yr
The average algorithm developer gross salary in Saint-Germain-en-Laye, France is 83 189 € or an equivalent hourly rate of 40 €. This is 7% higher (+5 435 €) than the average algorithm developer salary in France. In addition, they earn an average bonus of 3 719 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Saint-Germain-en-Laye, France. An entry level algorithm developer (1-3 years of experience) earns an average salary of 58 107 €. On the other end, a senior level algorithm developer (8+ years of experience) earns an average salary of 93 882 €.
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91 216 € (EUR)
10 %
Based on our compensation data, the estimated salary potential for Algorithm Developer will increase 10 % over 5 years.
This chart displays the highest level of education for:
Algorithm Developer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- Python Certification
- Google Associate Android Developer Certification - Java
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The cost of living in Saint-Germain-en-Laye, France is 19% more than the average cost of living in France. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSaint-Germain-en-Laye (French: [sɛ̃ ʒɛʁmɛ̃ ɑ̃ lɛ] ) is a commune in the Yvelines department in the Île-de-France in north-central France. It is located in the western suburbs of Paris, 19.1 km (11.9 mi) from the centre of Paris. Inhabitants are called Saint-Germanois or Saint-Germinois. With its elegant tree-lined streets it is one of the more affluent suburbs of Paris, combining both high-end leisure spots and exclusive residential neighborhoods (see the Golden Triangle of the Yvelines). Saint-
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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