Our customer Philips Research is the source of many advanced developments in Healthcare, Lifestyle and Technology. Building on 100 years of experience in industrial research and our world-leading patent position, we're dedicated to bringing meaningful innovations that improve people's lives.
We provide technology options for innovations in the area of health and well-being, targeted at both developed and emerging markets. Positioned at the front-end of the innovation process, we work on everything from spotting trends and ideation to proof of concept and first-of-a-kind product development. For more insights you can visit: www.research.philips.com
Job Description(senior) Scientist on Data Management and Analytics
Philips Research and Philips product divisions rely more and more on data management and data analytics techniques which are playing an important role in the new Philips products and services. The phases in data lifecycle management include data acquisitions, data cleaning, integration, analysis, interpretation and visualization. The candidate should have knowledge and experience to work with different infrastructures, tools and applications that support all the phases and be able to support the end-to-end data handling, management and analytics processes.
Your challenge
- As a (senior) Scientist in the data management and analytics field you will:
- Participate in research projects that address data analytics challenges
- Provide consultancy wrt data management and analytics
- Align & network with opinion leaders within Philips Research and the Business Sectors
- Scout for new data management and analytics technologies by visiting conferences, universities, vendors and monitor the literature and Internet sources.
- Explore, experiment and pilot in internal concept creation projects
Your responsibilities
An overview of your tasks:
- Carry out industrial research in the data analytics field, enlarging relevant knowledge and bringing-in new knowledge;
- Pro-actively make knowledge available for operational use within Philips Research and Philips, such as to contribute to successful transfers of research results to customers;
- Keep abreast of technical, application and market developments in the relevant technological and industrial areas, showing interest in the business aspects;
- Contribute to the definition of the departments research program;
- Contribute pro-actively to a creative and inspiring working environment.
More specifically:
- You perform independent research, provide consultancy, and participate/define projects in the area of data management and analytics. The results of your work are adopted by Philips Research or the Sectors, and are translated into successful products/services. You contribute to the strategy of the research departments.
- You create technologies that ensure proper data management and data analytics functionality for Philips products and services. In addition you contribute to data management and analytics strategy within the Research program. You have a full understanding of the state-of-the-art and create original contributions. You address important challenges that come in at each phase of the data lifecycle management, from data acquisition, to preconditioning, analysis, interpretation and visualization. Further challenges include big data management infrastructures and techniques for specific domains within healthcare, lighting and consumer lifestyle as well as data analytics methods and algorithms.
- External exposure (for example by means of participation to conferences and scientific publications) and external collaborations (for example with universities or in the context of European research projects) are highly encouraged.
Your team
The mission of the Smart Personal Spaces group is to provide Philips businesses with new product and service propositions specifically for consumers. Naturally these depend and relate highly on the “connected everything”, “smart homes”, structured and unstructured “big data” paradigms of today. Today’s examples are already visible like e.g. the Philips Lighting HUE system and its interconnects.
Naturally the Smart Personal Spaces teams up with other Research departments to participate in research projects to create innovative services, applications and solutions which are transferred to Philips sectors. It also creates strategies for the research program and delivers technology landscapes, prototypes and demonstrators. The group advances and extends the Philips Research competencies in the fields of highly accurate data analytics data management, signal processing and new data driven business model development.
Qualifications- A MSc or PhD in computer science or another relevant area
- For the senior scientist we require at least 5 years of preferably applied research experience in the domain of data management and analytics, and affinity to the research way of working
- Hands-on experience with data analysis techniques such as clustering, statistical analysis, graph analysis, pattern recognition, classifiers, recommenders
- Good understanding of the data management and IT fields
- Good programing skills as well as knowledge and experience with database management systems, tools for data integration, analysis, and data modeling
- Experience with Matlab, C/C++ coding and different SQL and non-SQL databases as well as data analytics tools such as R, SPSS, WEKA, etc. is a plus
- Good communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips Research; with customers, obtain their user needs and be able to transform those into practical solutions
- Team worker in multidisciplinary and international settings, able to adapt quickly
- Curious, proactive, fast learner able to quickly picking up new areas
Your employment contract will be concluded with USG Engineering or one of our Partner companies and USG Engineering will take care of Work and Resident Permits
USG Engineering
Is a specialised provider of employment services in The Netherlands, focusing on the market segments, professional secondment and projects. USG Engineering provides this range of services through independent operating companies with locations all over The Netherlands. We have 850 Engineers employed what are working at the customers sites.
USG Engineering is part of USG People what shares are listed on the stock exchange NYSE Euronext Amsterdam.
USG Engineering Recruits, Source, Deploys, Employs and in case of Non-Dutch residents we also take care of Resident and Work permits. We are staffing many customers with top-notch engineers from all over the world
For more information about working and living in The Netherlands, please visit:
About The Netherlands:
- http://www.holland.com/us/tourism.htm
Housing in The Netherlands:
- http://www.rotsvast.nl/en/home
- http://www.directwonen.nl/
Cost of Living in The Netherlands:
- http://www.numbeo.com/cost-of-living/country_result.jsp?country=Netherlands
Movies about The Netherlands:
- http://www.youtube.com/watch?v=hqEh0iFWlgs&list=UUeWkz91vG29LhG6tYZovTaQ&index=1
- http://www.youtube.com/watch?v=gsqc9VDnj9o
Skills Required
- MSc or PhD in computer science or relevant area
- At least 5 years of applied research experience in data management and analytics
- Hands-on experience with data analysis techniques (clustering, statistical analysis, graph analysis, pattern recognition, classifiers, recommenders)
- Good understanding of data management and IT fields
- Good programming skills and experience with database management systems, data integration, analysis, and data modeling tools
- Good communication and interpersonal skills; ability to translate user needs into practical solutions
- Experience working in multidisciplinary and international teams; team worker
- Curiosity, proactiveness, and ability to learn quickly
- Experience with Matlab, C/C++ coding, SQL and non-SQL databases, and data analytics tools such as R, SPSS, WEKA
What We Do
U.S. Engineering is a fifth-generation mechanical contracting and consulting firm providing solutions across the United States. They support clients throughout construction, manufacturing, service, and maintenance, specializing in mechanical systems such as piping, plumbing, and sheet metal. Their expertise focuses on reducing the total cost of ownership for facilities including hospitals, data centers, commercial buildings, educational institutions, and industrial plants.
