Steve Bell

Contact
for this job

Steve Bell

Get in touch with me

+353 1 634 8200 steve@stelfox.com

Contact for this job

Steve Bell

Get in touch with me

Senior Data Scientist – Brussels – Machine learning NLP

Date added

04/12/2017

Type

Contract, Permanent

Location

belgium

Category

Data

Reference

7012/SB/BR

Salary

Negotiable

Senior Data Scientist – Brussells (open to contract and permanent)
Senior Data Scientist/Machine Learning expert/Natural Language Processing expert
 
Position Summary
 
Our client, a global technology business, is seeking a senior data scientist/machine learning expert/natural language processing expert to extend a team in a project that requires Data Science, Machine Learning and NLP competences.
As the team’s data scientist and machine learning expert, you are able to deal with data (processing, cleaning, defining relevant features, etc) in order to make it ready for machine learning algorithms. You propose hypotheses and create machine learning models that create business value.
As a natural language expert, you help define the architecture of the new NLP system that is aimed at being able to handle natural language text and extract relevant knowledge from it. You are able to bring the defined architecture into reality.

What you need:

Profile
Scientific method
• Masters or Doctorate degree in a quantitative field (e.g., mathematics, computer science, physics, engineering, etc.) required.
• Experience in using the scientific method and empirical research to answer business questions. Formulates hypotheses, then designs experiments to collect the necessary data and/or explores existing data sets.
• Experience with Natural Language Processing. If that experience includes sentiment analysis that is a big plus.
• Can apply supervised and non supervised machine learning techniques such as clustering, SVM, Random Forests, deep neural networks, bayesian networks, hidden markov models, collaborative filtering, regression methods, etc.
Data exploration and visualization
• Data cleaning and data wrangling tools are used to reshape the data.
• Creates and trains machine learning models to capture the knowledge learned and to transform it into product, service or process features. These models have good accuracy/recall/prediction values outside of the training set.
• Has 2+ years of experience of using supervised and unsupervised machine learning models on real world problems. NLP experience also valued.
• The created models are implementable in the target product, and fit for purpose.  S/he implements and integrates the model into the target product, or works closely with the team that does.
Reproducible research and result communicaton
• Has excellent communication skills. Communicates the extracted knowledge to the team and the business in reports and presentations.
• Visualizes the data in a variety of tools and creates a meaningful narrative and conclusion.  Results are reproducible, meaningful and interpretable.
Languages
• Excellent Python development skills, including familiarity with pandas, scikit-learn, numpy, scipy, Jupyter notebooks and other components of Python ecosystem.
• Good R development skill
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