Data Scientist Salary in Netherlands during 2024

πŸ’° The median Data Scientist Salary in Netherlands during 2024 is USD 69,686

✏️ This salary info is based on 22 individual salaries reported during 2024

Submit your salary Download the data

Salary details

The average Data Scientist salary lies between USD 53,333 and USD 72,000 in the Netherlands. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title
Data Scientist
Experience
all levels
Region
Netherlands
Salary year
2024
Sample size
22
Top 10%
$ 89,160
Top 25%
$ 72,000
Median
$ 69,686
Bottom 25%
$ 53,333
Bottom 10%
$ 49,333

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated:

Top 20 Job Tags for Data Scientist roles

The three most common job tag items assiciated with Data Scientist job listings are Python, Machine Learning and Statistics. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 13339 jobs Machine Learning | 12010 jobs Statistics | 11360 jobs SQL | 9872 jobs Engineering | 9442 jobs Computer Science | 7676 jobs R | 7126 jobs Mathematics | 6802 jobs Research | 6368 jobs ML models | 4815 jobs Data analysis | 4811 jobs Testing | 4059 jobs AWS | 3958 jobs Deep Learning | 3382 jobs Pipelines | 3233 jobs Spark | 3170 jobs Data visualization | 3130 jobs NLP | 3114 jobs PhD | 2936 jobs Big Data | 2924 jobs

Top 20 Job Perks/Benefits for Data Scientist roles

The three most common job benefits and perks assiciated with Data Scientist job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 11391 jobs Health care | 5903 jobs Equity / stock options | 4159 jobs Flex hours | 3813 jobs Startup environment | 3354 jobs Competitive pay | 3190 jobs Salary bonus | 2983 jobs Insurance | 2822 jobs Team events | 2515 jobs Medical leave | 2439 jobs Parental leave | 2403 jobs Flex vacation | 2336 jobs Wellness | 1630 jobs 401(k) matching | 1423 jobs Conferences | 744 jobs Flexible spending account | 554 jobs Fitness / gym | 545 jobs Unlimited paid time off | 537 jobs Relocation support | 497 jobs Home office stipend | 477 jobs

Salary Composition for Data Scientists in the Netherlands

In the Netherlands, the salary composition for a Data Scientist typically includes a fixed base salary, which forms the bulk of the compensation package. This base salary is often complemented by performance-based bonuses, which can vary significantly depending on the company’s size, industry, and specific performance metrics. For instance, larger tech companies or financial institutions might offer substantial bonuses, while smaller startups may provide equity options or stock grants as part of the compensation package. Additionally, some companies offer other forms of remuneration such as health benefits, retirement contributions, and professional development allowances. The regional economic climate and the specific industry can also influence the overall compensation structure, with tech hubs like Amsterdam potentially offering higher salaries compared to other regions.

Steps to Increase Salary from a Data Scientist Position

To increase your salary from a Data Scientist position, consider the following strategies:

  • Skill Enhancement: Continuously update and expand your skill set, particularly in high-demand areas such as deep learning, natural language processing, or big data technologies.
  • Advanced Education: Pursuing further education, such as a master's or Ph.D. in a relevant field, can open doors to higher-paying roles.
  • Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
  • Leadership Roles: Aim for leadership or managerial positions, which typically come with higher salaries.
  • Industry Transition: Consider transitioning to industries that offer higher compensation for data science roles, such as finance or healthcare.

Educational Requirements for Data Scientist Roles

Most Data Scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for more advanced roles. A strong educational background in quantitative fields is essential, as it provides the foundational knowledge necessary for data analysis and modeling.

Helpful Certifications for Data Scientists

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise to potential employers. Some valuable certifications include:

  • Certified Analytics Professional (CAP)
  • Google Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
  • AWS Certified Machine Learning – Specialty

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate for employers.

Experience Requirements for Data Scientist Positions

Typically, entry-level Data Scientist roles require at least 1-2 years of experience in a related field, such as data analysis or software development. For more senior positions, employers often look for candidates with 3-5 years of experience, including hands-on experience with data modeling, machine learning algorithms, and data visualization tools. Experience in managing projects and leading teams can also be beneficial for advancing to higher-level roles.

Related salaries

Data Scientist @ $ 98,300 (global) - Entry-level / Junior Details
Data Scientist @ $ 152,000 (global) Details
Data Scientist @ $ 197,689 (global) - Executive-level / Director Details
Data Scientist @ $ 160,000 (global) - Senior-level / Expert Details
Data Scientist @ $ 135,000 (global) - Mid-level / Intermediate Details
Data Scientist @ $ 157,350 (United States) Details
Data Scientist @ $ 200,000 (United States) - Executive-level / Director Details
Data Scientist @ $ 110,000 (United States) - Entry-level / Junior Details
Data Scientist @ $ 139,200 (United States) - Mid-level / Intermediate Details
Data Scientist @ $ 165,000 (United States) - Senior-level / Expert Details
Data Scientist @ $ 65,600 (Lithuania) Details
Data Scientist @ $ 68,750 (United Kingdom) Details
Data Scientist @ $ 62,500 (United Kingdom) - Mid-level / Intermediate Details
Data Scientist @ $ 77,500 (United Kingdom) - Senior-level / Expert Details
Data Scientist @ $ 40,370 (United Kingdom) - Entry-level / Junior Details
Data Scientist @ $ 109,200 (France) Details
Data Scientist @ $ 66,666 (Spain) Details
Data Scientist @ $ 131,300 (Egypt) Details
Data Scientist @ $ 91,319 (Germany) Details
Data Scientist @ $ 105,368 (Canada) - Mid-level / Intermediate Details
Data Scientist @ $ 149,850 (Canada) - Senior-level / Expert Details
Data Scientist @ $ 135,000 (Canada) Details

Want to contribute?

πŸ“ Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

πŸ“’ Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

πŸ’Ύ Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

πŸš€ Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.