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Best Dutch-speaking freelance Data Scientists to hire in 2025

Looking to hire Dutch-speaking Data Scientists for your next project? Browse the world’s best freelance Data Scientists on Contra.

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Logo for Wix StudioLogo for RiveLogo for WebstudioLogo for GlorifyLogo for JitterLogo for FlutterFlowLogo for PeachWebLogo for CanvaLogo for Lottie FilesLogo for Workshop BuiltLogo for BuildshipLogo for AppsumoLogo for FramerLogo for BarrelLogo for BubbleLogo for LummiLogo for WebflowLogo for GrayscaleLogo for Stride UXLogo for InstantLogo for SplineLogo for KittlLogo for RelumeLogo for HeyGenLogo for Replo
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Data Scientist(3)
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Ferre van Ham
Belgium
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Data Scientist(4)
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Thomas Blanchy
New Zealand
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Data Scientist(2)
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FAQs

Start by clearly outlining what you want the data scientist to do. Write down the main goal of your project and the key tasks. This will help the data scientist understand your expectations and deliver the results you want.
Be clear and specific. Mention the skills and experience you need, like proficiency in Python or machine learning. Describe your project and its goals so the data scientist can see if it's a good fit.
Look at their profile and past work. Check if they have done similar projects before. Reviews and ratings from other clients can also show how good they are at their job.
Tell them when you want the project to start and when you expect it to be completed. Break the project into stages if it’s big and give deadlines for each part. This helps the data scientist manage their time and meet your needs.
Talk about what you expect them to deliver. This could be a finished report, a set of analyzed data, or a specific model. Being clear means both you and the data scientist know what the end result should be.
Explain how important data security is to you. Discuss any rules or laws they need to follow. This keeps your data safe and ensures the data scientist knows your priorities.
Regular check-ins are good. Decide on a schedule that works for both of you, like weekly calls or updates. This keeps the project on track and allows for any changes if needed.
Talk about how you'll give feedback and how often. Will it be through email, calls, or a chat app? Agreeing on this helps improve the work and keeps communication smooth.
Share information about your business and why it matters to you. This helps the data scientist use their data skills in a way that makes sense for your industry. It can lead to better results for your project.
Talk to them about what tools or software they use. Make sure it's compatible with what you have or need. This ensures they can work more efficiently on your project.
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