Do you have the ambition to further develop yourself as a Data Scientist? Do you see it as a challenge to improve the data driven mindset in our organization by developing pragmatic and creative data science solutions? Would you like to work on data science projects that ensure that the strategic value of our data from retail, e-commerce, media and logistics is used intelligently?
We are happy to tell you more about the possibilities that AUDAX can offer you.

Apply now and join Audax's Data Science team in the role of:

Data Scientist M / F

The Data Science team is young and in development and constitutes together with the Business Intelligence team the Data Analytics Unit of AUDAX.

Wat ga je doen?

As a Data Scientist you work together with business partners to identify challenges and translate them into actionable and measurable solutions. With your passion and your expertise in the field of machine learning, you not only develop (predictive) algorithms, but deliver them as a working product to the end user.
The job offers you a mix to work on small 'low hanging fruit' projects as well as larger complex challenges. All your initiatives are aimed at extracting strategic value from the large amount and variety of data available. Data from the entire chain from producer to (digital) consumer; five wholesalers, tens of thousands of products, about a thousand own stores and about five thousand other retailers, e-commerce platforms and an extensive and dense logistics network.

Wat verwachten wij?

  • Programming in Python (familiar with libraries such as pandas, numpy, scikit-learn, keras, matplotlib, etc.) and SQL.
  • Modeling of advanced statistical analysis; supervised and unsupervised machine learning (regressions, gradient boosting, random forest, timeseries, neural networks).
  • Data visualization (in Python and / or BI tools).
  • You take initiative and have strong conceptual and analytical capabilities.
  • You are purpose and result oriented and set the bar high when it comes to your work quality.
  • You know how to communicate statistical and model results in an understandable way, speaking the language of both techies as the business.
  • You are eager to learn. Not only new algorithms and technologies, but also at an interpersonal level. You acknowledge that the value of your work is a combination of quality and acceptance.
  • University education preferably in the field of data science, mathematics or econometrics.
  • 0 to 2 years of work experience in a similar position.


Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld!


Jij solliciteert!
Wij bekijken je sollicitatie zorgvuldig en binnen 7 dagen weet je of we je uitnodigen voor een mogelijke kennismaking.
1e gesprek (en optioneel 2e gesprek)
Wij willen je beter leren kennen in een 1e gesprek met 2 gesprekspartners. Afhankelijk of we nog aanvullende vragen hebben, nodigen we je uit voor een 2e gesprek.
Voorstel arbeidsvoorwaarden
Zijn we samen nog steeds even enthousiast? Dan ontvang je een aanbieding. Als je akkoord bent, ondertekenen we je arbeidsovereenkomst.
We zijn eruit! Fijn dat we gaan samenwerken. We zien je op jouw 1e werkdag.

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