Philips Data Scientist - Service Parts Supply Chain 

Netherlands, North Brabant 

615429317

Data Scientist - Service Parts Supply ChainJob Description

You will be responsible for working as an Analytics lead for Supply Management, Quality, CO2 and Circular Economy functions. Provide timely and right insights for these functions in addition to responding to adhoc requests eg. EUMDR, operational topics.

To formulate the commercial logistics policy and to create ,lead and coordinate initiatives and activities to achieve optimum integrated management of the goods flow for the markets.
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 advance 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.

• Using new technologies in AI and Simulation to complement descriptive analysis.

You're the right fit if you have:

• Bachelor's/ 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 Analytices especially parts.

Domain Knowledge & Soft skills:

• Business domain knowledge across multiple disciplines (Supply Chain especially Parts).

• Good communicators to understand and guess what problems stakeholders are trying to solve -> translating high-level into simple and robust solutions is critical.

• Eager 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 the insights in a meaningful way.

Technical:

• Domain expertise (e.g. Image recognition, time-series, deep-learning).

• Able to apply statistical techniques to describe data and develop models to make predictions.

• Hands-on experience with Excel (various charts), Power BI visualization Tools.

• Hands-on with experience with complex queries on DBs like Oracle, extracts (eg ETL).

• Should be comfortable with Descriptive, Statistics, Variability, Correlation, Probability, Regression & Normal Distribution.

• Awareness of lean and six-sigma methodologies.

• Computer science skills to write code and be able to work with data engineers to develop software.

This is an office-based role.

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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. Learn more about our culture of impact with care .