Description
Proteus Europe is searching for a Data Scientist for a long term mission for one of our Belgian clients.
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:-
This position is to join the Fraud Detection team that is creating tools and models for our clients business units. The team is focussing on identifying web traffic subsets that contain anomalies and are part of malicious actions.
In the role of data scientist within the fraud detection domain, the candidate will propose hypotheses, and design experiments to obtain suitable data to validate these. They will explore and visualize the data, and communicate the knowledge to the team/business. They create models that use existing and future data to create business value.
Data exploration and visualization:
- Creates and trains models to capture the knowledge learned and to transform it into product 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.
- The created models are implementable in the target product, and fit for purpose. The candidate 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:-
- Masters or Doctorate degree in a quantitative field (eg, mathematics, computer science, physics, engineering, etc.) required.
- Ability to manage and analyse large datasets using standard data science toolsets in R or Python
- Good understanding and extensive experience of exploratory, supervised and unsupervised machine learning models
- Experience with relational and non-relational databases, knowledge of SQL and Apache Spark
Desirable Skills:-
- Experience with H2O.ai, KNIME, SparkML is a 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.