Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Data Scientist - Service Parts Supply Chain

Geplaatst 2 sep. 2025
Delen:
Werkervaring
8 tot 20 jaar
Full-time / part-time
Full-time
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

Je carrière begint op Magnet.me

Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.

Data Scientist - Service Parts Supply Chain at Philips

Your role:

  • Provide service supply chain (parts) data driven insights to identify and optimize business strategies and enable decision making.
  • Drive continuous improvement opportunities to capture value from information on process, performance and advanced analytics.
  • Ensure daily/weekly/monthly reports are on time and correct.
  • Develop dashboards to drive business decisions to ensure SPS KPIs can meet their targets.
  • Use new technologies in AI and Simulation to complement descriptive analysis.

You're the right fit if you have:

  • Bachelor's or master's degree in data science, Business Analytics, Supply Chain, Information Systems, Operations Research, or equivalent.
  • 8+ years of experience in independently handling Supply Chain Analytics, especially parts.

Domain Knowledge & Soft skills:

  • Business domain knowledge across multiple disciplines (Supply Chain especially Parts).
  • Good communication skills to understand and interpret stakeholder needs, translating high-level problems into simple and robust solutions.
  • Eagerness to learn new techniques and tools and willingness to do projects in new business areas of Supply Chain, especially Parts.
  • Ability to visualize and communicate insights in a meaningful way.

Technical:

  • Domain expertise (e.g. Image recognition, time-series, deep-learning).
  • Ability to apply statistical techniques to describe data and develop models to make predictions.
  • Hands-on experience with Excel (various charts), Power BI visualization tools.
  • Experience with complex queries on databases like Oracle, extracts (e.g. ETL).
  • Comfortable with Descriptive Statistics, Variability, Correlation, Probability, Regression & Normal Distribution.
  • Awareness of lean and six-sigma methodologies.
  • Computer science skills to write code and work with data engineers to develop software.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This is an office-based role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips.

Philips is a leading health technology company focused on improving people’s lives across the health continuum – from healthy living and prevention, to diagnosis, treatment and home care. Applying advanced technologies and deep clinical and consumer insights, Philips delivers integrated solutions that address the Quadruple Aim: improved patient experience, better health outcomes, improved staff experience, and lower cost of care.

Industrie
Amsterdam
Actief in 100 landen
11.000 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 39 jaar oud