Full time |  Permanent  |  4 year  |  Salary type not mentioned Salary not mentioned  |  1 Jobs

Job Description

Your current competenties


PhD or Masters in a relevant field like statistics, computer science or applied mathematics, physics or other quantitative/computational discipline, or 4+ years of relevant experience;

Strong background in database implementation, particularly graph databases and related tools (eg. NEO4J, Apache Jena, Cassandra, OWL, SPARQL etc);

Familiarity with big data tools (Apache Spark, Hadoop, etc);

Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;

Ability to communicate complex quantitative analysis and analytic approaches in a clear, precise, and actionable manner;

One or more of the following:

Familiarity with relational databases and SQL-like query languages.

Knowledge of a scientific computing language such as R, Python, or Julia.

Experience with managing data analytics projects and steering teams;

You are a creative person, result-oriented and quality-driven and you have good communication skills;

Thanks to your good social, communication and presentation skills you know how to adapt to different types of environments and audiences;

You are a team player, but can also work independently;

You are fluent in English; Dutch and French is an additional asset;

Consulting experience is an asset;

Prepared to travel frequently.


Your role As a Graph Database Specialist you will: Gather, clean and sample data; Implement graph databases; Develop and demonstrate improved database methodologies and educate fellow team member and stakeholders; Act independently to identify opportunities for improved analysis or improved efficiency through better use of database tools; Make big amounts of data tell stories and create change the client’s organization; Deliver analytically-informed, issue-based solutions that help clients make faster, smarter decisions; Work in a multidisciplinary team on projects in diverse industries, with a distinct interest for the business value of the data and the business context; Steer teams in an international context, using your excellent project and people management skills; Be the prime contact for the client and excel by delivering qualitative results and maintaining strong client relationship.


PhD or Masters in a relevant field like statistics or computer science or applied mathematics or physics or other quantitative/computational discipline

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