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Data Scientist

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Would you like to meet the Team, see our office and much more? Visit our website: Heineken (

Your responsibilities would include:

• developing predictive models and algorithms to solve complex business problems, such as forecasting timeseries, optimizing warehouses, predicting customer churn, running A/B tests, and optimizing transport and delivery routes
• collaborating with a diverse global team of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Product Managers to develop and implement data-driven solutions
• mentoring and coaching early-career data scientists, fostering an environment of continuous learning and growth
• applying software engineering best practices, such as code versioning, structuring, and unit testing, to ensure the reliability and robustness of data science solutions
• communicating effectively with various stakeholders, including fellow data scientists and sales managers, tailoring your message to your audience's level of technical understanding.

You are a good candidate if you have:

• 2 - 4 years of experience as a Data Scientist in the business setting
• experience building and designing complex data science solutions
• MSc/MA/PhD in a technical discipline related to Data Science (Data Science, Physics, Computer Science, Econometrics, Bioinformatics, etc.)
• effective communication skills so that you can tailor your message to the audience, be it a fellow Data Scientist or a Sales Manager
• value-driven and pragmatic mind-set, focus on getting a result in an Agile manner
• coaching and mentoring other data scientists in the earlier stages of their careers
• knowledge of Machine Learning, Statistics, optimization algorithms and related fields
• fluent Python programming skills and thorough knowledge of pandas & scikit-learn
• experience with applying software engineering best practices, like code version systems, code structure and unit tests
• familiarity with Azure stack (Azure Data Factory, Azure Machine Learning, Databricks) is a plus.

We Offer:

Job Segment: Test Engineer, Testing, Computer Science, Software Engineer, Business Intelligence, Engineering, Technology

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