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Open nowPosted 19 hours ago

Marketing Data Scientist

EURES job mobility portal370,340 open roles

Where
Groot-Amsterdam, Netherlands
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Your applicationOpen nowMarketing Data ScientistEURES job mobility portal · Groot-Amsterdam, Netherlands
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 19 hours ago

EURES job mobility portal median: 3 days open

The posting

AMI Interim Knowhow Interim Marketing Data Scientist Nieuw Locatie Amsterdam Opdrachtgever Vertrouwelijk Publicatiedatum 11-09-2026 Contactpersoon Anouk van de Loo M: (06) 2876 6485 Delen Functie omschrijving Voor mijn internationale opdrachtgever ben ik op zoek naar een Interim Marketing Data Scientist. Een mooie interim-opdracht voor een ervaren Marketing Data Scientist die energie krijgt van het combineren van data science, klantgedrag en marketingvraagstukken. Je krijgt ruimte om zelfstandig impact te maken, werkt nauw samen met verschillende disciplines en bent vanaf dag één een inhoudelijke gesprekspartner voor de business. • Periode: 1 oktober tot en met 31 december 2026 • Aantal uren per week: 32 tot 40 uur • Tarief maximaal € in overleg per uur excl. btw en incl. reiskosten • Alleen ZZP'er Voor een toonaangevende organisatie ben ik op zoek naar een ervaren Interim Marketing Data Scientist. In deze rol werk je op het snijvlak van data science, marketing en klantstrategie. Je zet data om in inzichten en voorspellende modellen die direct bijdragen aan betere marketingbeslissingen, klantbehoud en klantwaarde. Je werkt end-to-end: van het vertalen van businessvragen naar concrete data science-vraagstukken, via data-exploratie en modellering tot het implementeren en monitoren van modellen in productie. Wat ga je doen - Je ontwikkelt en implementeert voorspellende modellen gericht op klantgedrag, klantbehoud en klantwaarde. - Je past geavanceerde statistische en machine-learningtechnieken toe, waaronder regressie, classificatie, forecasting, A/B-testing en causal inference. - Je vertaalt marketing- en businessvraagstukken naar concrete data science-oplossingen. - Je werkt met grote hoeveelheden klant- en marketingdata en voert data-exploratie en feature engineering uit. - Je ontwikkelt modellen die daadwerkelijk in de praktijk worden toegepast en neemt verantwoordelijkheid voor de volledige lifecycle: ...

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