BackPosted on 05/07/2016
Junior/Senior Software Engineer
Full time |
Salary type not mentioned
Salary not mentioned |
Junior/Senior Software Engineer
What is the job all about?
According to Thomas H. Davenport “Data Scientists (is) the sexiest job of the 21th century” (Harvard Business Review October 2012). Do you want to be part of a fantastic team already active in this field for more than 10 years? We are building software applications combining Data Analytics expertise with advanced software technologies aiming at serving our clients in various sectors for their own needs in marketing and risk management based on Big Data Analytics.
You will be the new member of our R&D team. In the R&D team we keep track of the current industry standards in predictive modelling, as well as in software development.
Your role will be to:
Working in a growing team, take part in the Functional and Technical analysis, architecture and software development of the applications
Perform the maintenance of existing software
Safeguard the code quality by implementing unit tests and performing code reviews
Find and understand existing best practices in e.g. predictive modelling, possibly translating those into adjustments/additions of certain features
Create Functional/technical analysis, planning, external code documentation where required to report to supervisors
Be an active member of the R&D team. You are able to take feedback, but also give it
Choose whether to use the Windows or Linux platform
You can hone your skills in Kaggle competitions
What is VADIS looking for?
The ideal candidate has the following:
You have a Master in Computer Science or Engineering or equivalent. Senior: 5+ years of relevant experience
Proven experience in software development in C++. Python is a big plus.
Experience with the Linux platform
Experience with a versioning solution (e.g. Git, SVN)
Work independently and responsibly
Personal skills: Strong analytical, autonomous, communicative (towards team members, team leader and non-developers), studious and problem solving skills
Fluent English (French and/or Dutch are a plus)
All of the following are considered as a plus:
Scientific background (PhD)
Experience with machine learning : feature engineering, regression methods, gradient tree boosting, training/evaluating predictive models
Knowledge of Hadoop/spark, Flask, or REST in general
Experience with docker/vagrant/chef/…
You hold a Belgian work permit
Industries: Information Services
The benefits will be related to the experience and skills of the candidate and will be in line with best practises in the area.
“Vadis is a leading European company in Big Data Analytics, Data Mining and smart Business Intelligence”
We dispose of a set of high level in-house developed tools for Big Data, Web, Text and Graph Mining which we combine with highly developed expertise in Data Analytics, Predictive & Prescriptive Modelling and Data Clustering. This innovative and unique approach enables us to deliver real Business Intelligence Added Value to our customers, especially since results can be analysed through very user-friendly & customizable data visualization, drill-down and analysis tools.
Most of our customers use this approach for improving their Sales Efficiency, Risk Management and Data Quality (enrichment, cleansing).
Moreover we can further leverage this insight in data by using our own data sources on B2B relations, assembled over the last years (e.g. we analyse and structure around 2 million press articles per day!).
These innovative solutions are used by clients in all sectors and governmental institutions, including the European Commission, Unilever, Bureau van Dijk , American Express, Atos, Wolters Kluwer…
We deliver these solutions to our clients both by delivering ‘ready to use’ solutions or by developing specific and tailor made projects using these tools which combine our data sources and analytic methodologies with the client’s ones.
We approach the Market both directly or through Strategic Alliances with partners.
If you are interested, please send your CV to: email@example.com
Boulevard de l’humanité 292
Tel: +32 894 28 00
You have a Master in Computer Science or Engineering or equivalent
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