Data Scientist/Machine Learning (Dutch Speaking)

Brussels  ‐ Onsite
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Description

Data Scientist - Machine Learning

ConSol Partner's client is one of the leading consultancies in IT services in Belgium, that are partnered with some of the largest companies in Europe. They are pioneers in the IT services world and are supporting multiple major projects around Europe. They are looking to expand their service levels with the client across multiple technologies.

The Role

ConSol Partner's client is looking for skilled Data Scientist to take part in machine learning, Datamodelling etc. This will be to provide crucial insights into the customers data and as a result optimize processes along the way.

Must have:

Build algorithms to predict the metabolic properties of food samples in a number of predetermined applications

Create the programming for signal processing of our measurements

Maintain relationships with the academic world to follow on trends and evolutions in technology and applications

Work independently while being part of a multidisciplinary team of scientists, technologists and business profiles.

The ability to work successfully in both a team/Matrix environment as well as independently is essential.

Authoritative quantitative analysis skills, particularly in chemometrics and multivariate statistical modelling (PLS, OPLS-DA, PCA).

Master machine learning methods and techniques for dimensionality reduction (PCA), regression/
calibration (PLS,PCR,Ridge,Lasso), classification (SVM,GBM,LDA,QDA,LogR) and clustering.

Knowledge of python Scripting for automation is a must

ConSol Partners

Founded in 2008, ConSol Partners are one of the world's leading technology recruitment brands with headquarters in the City of London and international offices in Los Angeles & Boston. ConSol Partners provide permanent and contract recruitment solutions to FTSE & Fortune 500 companies, global brands and start-ups across the Internet supply chain of Communications, Cloud and Digital.

Start date
n.a
From
Consol Partners
Published at
10.04.2018
Project ID:
1535174
Contract type
Freelance
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