Job Properties
  • Job Type
    Full-time Position
  • Category
    Research & Science
  • Languages
    English Dutch
  • Experience Required
  • Degree Required
    • Province
    • Date Posted
      January 09,2022
    • Entrusting Package
    • JSS
    • VISA
    • IMG_6430
    • Career Consultation

    Data Scientist

    Do you want to make positive impact, work for one of the biggest dairy companies in the world and take an important role towards shaping our growing data science community? Then we're looking for you.

    As a Junior Data Scientist at FrieslandCampina, you will be part of the ambitious Global Data Science team within our Data & Analytics Cluster within IT. Data Science is a key discipline to enable our Data Driven Company strategy: Drive competitive advantage for Frieslandcampina by treating data as a strategic asset. Working closely with Product Owners and SMEs from Digital, Commerce, and Supply Chain functions and together with a team of talented data people (e.g. solution architects, analytics translators, data scientists & data engineers) you will play a crucial role in this strategy.

    Our team is behind many high impact projects within FrieslandCampina. From data-driven market analysis & forecasting to smart manufacturing and asset management. You will have the opportunity to join in new data product innovations for FrieslandCampina, like predicting product quality and optimizing material yield with AI. You will use applied statistical techniques, machine learning, evaluating causation and impact. You will take data projects throughout their entire lifecycle, from conceptualization & solution design through proof of concepts, to deployments in Production.

    What we ask

    • Graduate or post-graduate degree (Master or PhD) in Data Science, Econometrics, Computer Science or other relevant studies. If no relevant study, demonstrably relevant experience and interest.

    • 1-2 years working experience in data science.

    • Knowledge of data science techniques, machine learning algorithms & frameworks and ML related math.

    • Experience in Python (must have), Spark and other programming languages.

    • The ability to explain complex matter in an easy and enthusiastic way to business stakeholders.

    • Experience in Cloud Platforms, Microsoft Azure Databricks, Azure ML and visualization tools are a big plus.

    What we offer

    • Unique company culture of Dutch heritage and international presence.

    • We offer great work life balance, and competitive salary & benefits package.

    • Diverse training and mentoring programs to help you grow on your own professional journey.

    • Exceptional support via cross disciplinary data-driven programs within the company to broaden your knowledge and growth paths.

    • A friendly and informal working environment, yet professional team members as sparring partners.

    • Autonomy and trust to create longer term impact that helps bring better nutrition to the world.

    • Free cheese and milk at lunch in the central office and barista coffee to help you go through your working days with a lot of joy.

    Vacancy description

    Data Science solution development

    • Co-Develops data science solutions: To meet current business needs applying the latest technologies & techniques in Artificial Intelligence, Machine Learning & Big Data. Owns development aspects of the engagement and integrates user experience towards framing data products.

    • Co-Designs data science projects: Works with business product owners, other data scientists and engineers to identify big picture objectives around innovations and key actionable insights needed.

    • Supports Solution life cycle management: Explains model results to business executives, facilitates adaptation of data science solutions and results in key business processes and decisions with trackable value.

    • Co-construct reusable data science libraries: Assist in creating re-usable code base from solutions we have created earlier.

    Be an advocate for data science in the organization.

    • Drives business awareness across middle management level and expert roles about the use cases and potential of data science.

    • Ensures to bring knowledge from other projects and similar domains internally and externally.

    • Be recognized as a trusted advisor by business product owners and coach within data science community of practice.

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