IT Data Scientist (Freelance)

Become a team member of the Manufacturing IT department who is challenging, developing, and implementing Data Driven Factory solutions related to Industry 4.0. As a Data Scientist you will work closely together with multiple teams Global and within the factory of Drachten. Provide data science solutions using advanced techniques, tools and methods to complex factory problems. Create and maintain standards around data science for the company. 

Your responsibilities
Ensure strategic direction for data science capabilities for Philips is created and kept up to date on a regular basis. Continuously evaluate the latest techniques in Artificial intelligence, machine learning, robotics, statistical analysis. Implement advances algorithms for business problems based on statistical analysis, coding, deep learning, advanced data mining techniques etc. Invent new algorithms if necessary, to bring predictive, advanced statistics / learning based solutions. 

Job overview and insights

• Co-create with business / market / functions or IT platforms on requirements. 
• Interpret and analyze data problems and come up with viable solutions, hypothesis and proof of concepts.
• Ensure quality of data and solution developed. Lead and drive data mining, creating algorithms, collection of data, collection of procedures during the design, build phases of a project. 
• Lead and drive in deploy and testing of the solutions and insights. 
• Working with big data and databases. 
• Demonstrable advanced programming experience in Python or another programming language such as Java/C/C++/R;
• Strong analytical and social skills and the capability to translate data intelligence into valuable insights for the senior stakeholders in the company. 
• Experience in data analytics and in statistical (regression, clustering and classification), descriptive and diagnosis methods; knowledge of forecasting methods; 
• Ability to identify and solve multiple complex business problems.
• Create appropriate hypothesis and solution directions that can tested using data science techniques. 
• Manage and lead multiple data science projects. 
• Manage (via influence) small teams of junior data scientists across internal and vendor resources to complete the projects.
• Manage senior stakeholder in the company in a matrix organization (product owners and their managers)
• Reporting into Senior Data Scientist or Data Science lead.
   

Your team
You are a member of MIT (Manufacturing IT) within the Engineering organization. The Engineering department provides a high-volume industrialization at Philips Drachten and is situated between the supply and innovation department. The MIT provides and secure the IT/OT within the factory. Philips Drachten develops and produces electrical Shaving devices, Mother and Childcare products and parts of Oral Healthcare products. the industrialization requires highly advanced production processes, IT solutions and are characterized as dynamic and innovative.

Our offer
We welcome you to a challenging, innovative environment with great opportunities for you to explore. Our benefits are very competitive and designed around your preferences: 

We are looking for: 

• A Masters Degree or PhD in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent; 
• Certifications or courses in Artificial Intelligence, Machine Learning, Deep Learning, R-Python scripting etc. from a reputed institute is a plus (e.g. Coursera institute, regular universities, ARTiBA etc.)
• Experienced within Production. 

Person type (Insights):

- Team player

- Analytical/problem solving

- Independent acting

- Result driven

- Able to work under time pressure

- Open communication to all organizational levels.

- Open minded

Become a team member of the Manufacturing IT department who is challenging, developing, and implementing Data Driven Factory solutions related to Industry 4.0. As a Data Scientist you will work closely together with multiple teams Global and within the factory of Drachten. Provide data science solutions using advanced techniques, tools and methods to complex factory problems. Create and maintain standards around data science for the company.