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Junior Data Scientist

VADIS Belgium

Full time |  Permanent  |  Fresher  |  Salary type not mentioned Salary not mentioned  |  1 Jobs  | English,French

Job Description

Junior Data Scientist
Job Description

According to Thomas H. Davenport “Data Scientists (is) the sexiest job of the 21th century” (Harvard Business Review October 2012). We agree.  Are you interested in deeply understanding the business processes of a company to improve their decisions based on extracting relevant information from their data? Are you interested in predictive modelling, data mining, business intelligence in general? Do you want to be part of a fantastic team already active in this field for more than 10 years?
What is the job all about?

Advising clients of different industries and sizes, improving their business processes to reach business objectives such as marketing campaign optimisation, leads identification, risk evaluation, market potential analysis, etc.
Translating business problems and potential actions into decision processes based on business analysis, data analysis, data modelling, and predictive modelling
Perform data preparation processes using ETL tools
Contributing to the creation and maintenance of a working methodology by developing data processes & industry specific templates and best practises in accordance with our standards
Work in a flat organisation where everybody is really part of a team and where autonomy and creativity is part of the game
What is VADIS looking for?

The ideal candidate has the following:

Master or PhD in Mathematics, Statistics, Computer Science, Engineering or any related field
Passionate about data and/or statistical analysis, with mathematics and modelling skills
Proficiency in data sourcing, data capture, data transformation and data preparation techniques
Experience of applying regression, correlation, segmentation, factor analysis or forecasting desirable
Good communication skills - ability to be the bridge between the technical and non-technical elements of the business
Conceptual and creative thinking
Ideally fluency in Dutch, French and English (verbal & written)
 All of the following are considered as a plus:

Experience with SQL
Programming knowledge in Python
Experience in Data Visualisation
Interest in Hadoop or other Big Data frameworks is a plus
Being a Kaggler!
Additional Information

Type: Full-time
Experience: Entry Level 
Functions: unior Data Scientist
Industries: Information Services

Benefits

The benefits will be related to the experience and skills of the candidate and will be in line with best practises in the area.

Company Description

“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 as through Strategic Alliances with partners as Bureau van Dijk.

Contact

If you are interested, please send your CV to: hr@vadis.com

Direction HR
VADIS sa/nv
Boulevard de l’humanité 292
1190 Brussels
Tel: +32 894 28 00

Qualification

Master or PhD in Mathematics, Statistics, Computer Science, Engineering or any related field

Contact details

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