Amsterdam, The Netherlands
Posted on: 2nd July 2018
Data is the lifeblood of scientific research – and in this role, you’ll be at the heart of our ongoing efforts to make the world’s largest repository of scientific data more flexible, more searchable and more useful to the researchers and scientists who need it.
You’ll work closely with colleagues at our emerging tech hub in Amsterdam, as well as our academic partners, to turn cutting-edge research into polished applications based on the latest technologies. These tools will help the world’s scientists and researchers to make the next generation of breakthrough discoveries. It’s truly important work, which will have a real impact on medical, scientific and technology research.
Looking for a job where you can master the most advanced technology in the world? You’ve found one. In this role, you’ll use:
- Python, including NumPy, Pandas, Scikit-learn
- Other languages, such as Scala, Julia
- Apache Spark/Hadoop
- The HDFS file system
- Cloud-based platforms
- The Linux operating system
More about the role
This role is a data-lover’s dream. You’ll get to work with unimaginable- amounts of information, developing new algorithms, implementing Machine Learning techniques, analyzing results and then making predictions from time series’ and social networks. You’ll implement and maintain a data analysis pipeline on distributed, cloud-based analytics platforms. You’ll implement code for processing Big Data, using parallel distributed cluster architecture. You’ll constantly learn new techniques and methods, and continuously improve your methods at each stage of the analytics lifecycle.
Working alongside some of the smartest technologists and product managers in the industry, you’ll apply analysis and algorithm goals to develop code for a single-node machine, distributed cluster or GPUs. You’ll also get exposure to the wider business, by reporting on analysis and algorithm outcomes, using reporting templates and innovative data visualizations to explain your results to a non-technical audience.
Through it all, you’ll become an invaluable partner, using your expertise to help our global organization understand the true meanings of analysis.
More about you
It’s essential that you have a university degree (Masters or PhD) in Mathematics, Physics, Chemistry, Engineering, Computer Science, or a related topic – ideally from top tier university. Once that’s out of the way, you’ll also need experience of: developing algorithms to solve complex problems; applying signal processing algorithms using frequency and statistical based methods; implementing complex algorithms; and writing code/software for numerical analysis. In addition, you should have an uncommonly strong understanding of common Machine Learning algorithms, big data platforms, Agile Project management processes, and graph theory for application/social network analysis. This job will give you the chance to learn a lot of new skills – so it’s important that you be comfortable researching and new technologies and techniques as required.
Oh, and you’ve got a positive, constructive approach with an emphasis on collaboration and flexibility, right? We need someone with confidence, but who can admit when someone else has a better idea too.
More about Elsevier
At Elsevier, pride, passion and the pursuit of knowledge meet innovation, opportunity and growth. We are an organization that runs on intelligence. We supply it, develop it, and rely on it – and it requires intelligent people to make the intelligent career choice that will see us improve further. If you join us in Amsterdam, you will be part of shaping science’s next steps.