Data Scientist, Natural Language Processing (NLP)

Proteus Europe is searching for a Data Scientist who has experience with Natural Language processing skills for one of our clients in Belgium.

Our Client:- Working within this Global Corporation you will join a committed group of engineers who take pride in their work and strive to ensure that this company's wide range of software products is able to resist the best efforts of black hat hackers. As you can imagine security is tight and the collected knowledge in the existing team is large, an excellent opportunity to really stretch your Research skills in this complex world of security authentication. Our client is quite literally a household name across the Globe.

Your New role:-

We are looking for 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 teams 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. You share your knowledge with the team and communicate your findings to management/business. You then implement these models into reproducible processes.
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.

Scientific method:-

- Masters or Doctorate degree in a quantitative field (eg, 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 communication:-

- 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.

Your Skills and experience:-

Essential Skills:- - Excellent Python development skills, including familiarity with pandas, scikit-learn, numpy, scipy, Jupyter notebooks and other components of Python ecosystem.
- Good R development skills
- Good knowledge of at least one of Java, C.

Desirable Skills:- - Experience with Cloud services such as Google Cloud or Amazon Web Services is a plus.
- Professional experience with interfacing to Hadoop/Mapreduce, Spark, SQL, NoSQL, ElasticSearch, ... is another plus

Proteus Europe operates in partnership with our candidates by building strong and lasting relationships at all levels.

If you apply for this role, we will:

- Contact you within one week to discuss your current situation and suitability for this role.
- Keep searching for other suitable positions should this role not be right for you.
- Keep you informed at every stage of the recruitment process.
- Actively follow up with our client on your behalf to gain useful feedback throughout the process.