• You will be part of our Predictive Maintenance Product Team, where you will iterate on our models to flag and classify early signs of machine degradation.

• You will be responsible for enriching our sensor data, transforming raw measurements into interpretable features, and designing algorithms to convert this data into actionable and personalized advice.

• You will work closely with our Data Engineers to create deployable artifacts which will continuously generate insights across our customer base in a mix of streaming and batch applications.

• We have many different skills and personalities in the team, and promote an open and collaborative working environment. You are encouraged to work together on complex tasks, to give feedback when you can and actively think about your personal development.

• Being part of a fast-moving environment, you can work autonomously and proactively prioritize and solve the needs of our growing group of customers.

• Have an MSc in Business Analytics, Data Science, Computer Science, Mechanical Engineering or a comparable analytical / technical field

• Are a Data Scientist with 3+ years of experience who is fluent in data science and analysis with Python using Pandas and Numpy

• You have moved ‘beyond Jupyter notebooks’ and are comfortable with building Python modules and packages

• You know how to effectively run machine learning experiments and communicate the results.  

• You have experience with or are eager to learn more about programming best practices such as version control, testing, code quality and CI/CD.

• (Bonus) have experience with working in AWS

• (Bonus) have experience with industrial IoT

• Business level fluency in English is mandatory

• You can play a key role in creating a smart and sustainable industry;

• We have an open culture where you get a lot of freedom and where taking ownership is valued;

• We like to have you around, but you also get the opportunity to work remote (abroad) for up to 2 months per year;

• A powerful company laptop (Macbook Pro or Lenovo Thinkpad);

• Legendary lunches, drinks and other activities with colleagues (our office manager Elise exceeds our expectations every time);

…And we obviously offer you the usual: a contract for 32-40 hours per week, employer contribution to your pension, 27 holidays, €500 contribution to set up/improve your home office and a NS business card to get to our great offices in Utrecht and Amsterdam.