Scientist (m/f) Data Analytics/Big Data

Job description

Job Title

Scientist (m/f) Data Analytics/Big Data

Job Description

Philips Research is a global organization that helps Philips introduce 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 – where needed – first-of-a-kind product development.

You will be part of a growing team of colleagues focusing on data analytics services within the Hamburg Research laboratory.

Your Responsibilities

As a data scientist in Philips Research you will enable Philips and its customers to make the most out of their data. You will analyze diverse data sources with a broad range of tools and methods. In close collaboration with our business partners, you will co-create internal and customer-facing analytics solutions and evaluate them in the real world.

·  Drive the full data analytics stack: data exploration, preparation, ETL, modeling, visualization
·  Work with our business partners to transform their real-life challenges to analytics solutions
·  Help develop front-end tools to show and evaluate your methods
·  Contribute to the field of data science, present your work at conferences and in journals

Your Profile

Your work in our team has a direct impact on how we and our customers operate. We practice an agile way of working that gives you great flexibility in how you approach your tasks. Applying your unique skills and realizing your own ideas is at the core of your work.

We are looking for people who want to deliver excellent results for our customers in a team with other highly qualified, innovative colleagues.

·  University degree and PhD in Informatics or similar
·  Proven capabilities in data handling, processing and visualization
·  Solution-driven mind set, willingness to engage in the subject matter of the task
·  Ability to independently develop innovative analytics algorithms
·  Very good knowledge of open source analytics and visualization tools (e.g. Python, d3)
·  Expertise in data modeling, databases, SQL and Web programming
·  Excellent communication and teamworking skills
·  Ability to efficiently work in teams
·  Passion for innovation
·  Proficiency in English language, German would be a plus

Philips encourages people with disability to apply.

Please upload your complete documents, incl. CV, diplomas, PhD and a list of your publications.

Please apply only online and include in your cover letter your salary expectations and the earliest possible starting date/your period of notice.

As a company for health and wellbeing the compatibility of our employees' professional and private life is an important aspect for Philips. Therefore we offer numerous services to support you for example \'Kids and more\' as part of our family services, the “Philips in Balance - health program”, as well as modern working time models.

Contact

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