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Open nowPosted 3 days ago

Data Scientist

EURES job mobility portal554,635 open roles

Where
Utrecht, Netherlands
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Your applicationOpen nowData ScientistEURES job mobility portal · Utrecht, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted 3 days ago

EURES job mobility portal median: 6 days open

The posting

Starapple Data Scientist | Machine Learning & Python | Amersfoort Amersfoort Organisatie & Afdeling Niet alleen data analyseren, maar er iets mee bouwen Je kunt grote hoeveelheden data analyseren, patronen herkennen en modellen ontwikkelen. Maar de echte uitdaging begint wanneer je die inzichten wilt vertalen naar toepassingen waar een organisatie daadwerkelijk mee verder kan. Als Data Scientist bij een grote landelijke zorgorganisatie werk je op het snijvlak van data science, machine learning en praktische innovatie. Je ontwikkelt modellen, onderzoekt complexe datasets en bouwt mee aan dataproducten die helpen om processen slimmer in te richten en betere beslissingen te nemen. Je komt terecht in een organisatie die bijna 11.000 mensen met een verstandelijke beperking ondersteunt, thuis, online en op bijna 700 locaties verspreid over Nederland. Met ruim 7.600 medewerkers en een grote verscheidenheid aan zorg- en ondersteuningsvragen is er een brede context waarin data en technologie waarde kunnen toevoegen. Functie Van experiment naar bruikbare oplossing In deze functie combineer je analytisch werk met technische ontwikkeling. Je onderzoekt welke inzichten in data verborgen zitten, experimenteert met modellen en werkt aan de implementatie en verbetering daarvan. Daarbij kijk je niet alleen naar de uitkomst van een analyse, maar ook naar de manier waarop die bruikbaar wordt voor de organisatie. Je werkt samen met data engineers, analisten en IT-specialisten. Zo verbind je jouw kennis van data science met andere disciplines en help je oplossingen verder te brengen dan de onderzoeksfase. Je werkzaamheden bestaan onder andere uit: - Ontwikkelen, implementeren en optimaliseren van machine learning- en data science-modellen; - Analyseren van grote datasets en vertalen van resultaten naar concrete inzichten; - Bouwen en verbeteren van dataproducten en datapipelines met Python; - Werken met moderne data platformen, waaronder ...

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One press. We do the rest.

  1. A CV for this posting

    Written against EURES job mobility portal's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EURES job mobility portal's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    EURES job mobility portal's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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