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Data Scientist

Eingestellt von Global Resourcing

Gesuchte Skills: Engineering, Python, Xml, Sql

Projektbeschreibung

The Corporate Information Security Office (CISO) department is responsible for our information security worldwide. Responsibilities include: fraud detection on payments, network monitoring, risk management, business continuity management and access control. For both clients and employees.

One of the goals of CISO is to become more data driven. For the data science team of CISO we are looking for three data scientists at different levels that make the various products and processes more data driven.

We are looking for people for two work areas. On the one hand generic data scientists with whole CISO as focus area, on the other hand data scientists with a focus on fraud detection on payments by our customers.

You set up research independently. You often work in a team and it is essential that you can collaborate in setting up and executing complex data analysis trajectories. This ranges from determining the right question, retrieving and researching data to determining the right (scientific) experiment design and performing formal modelling. Eg. EDA, feature engineering, machine learning or unsupervised learning. After delivering a model, you supervise the implementation or partly implement it yourself. Your skill set overlaps with that of a data engineer.

You conduct the research planned and process-based together with the team. You are familiar with the Agile way of working. You communicate effectively to team members as well as to management and you adapt your content and style to the target group. You build new tooling or adjust existing ones. Your success does not depend on specific tools.

You translate security problems and opportunities to research and prototypes/MVPs. You put ideas from the business into concrete issues for the data science team.

Typical skill set with examples:

- Machine Learning: Supervised Learning, Unsupported Learning, Reinforcement Learning. And you know when you can and can not use these methods.
- Programming: R programming language, Python programming language, Spreadsheet tools, JavaScript and HTML, C/C ++
- Statistics: Descriptive and Inferential statistics, Experimental design.
- Mathematics: Linear Algebra, Functions and Graphing, Multivariable Calculus, Probability Theory
- Data Wrangling: Python, Database Systems, (no) SQL, Big Data systems (eg Hadoop, Spark)
- Data engineering/ML engineering. Implement advanced analytics robustly in various target systems like Postgress, Splunk, Docker, Azure, AWS.
- Communication and Data Visualization: Data Presentation, Knowing Your Audience
- Consultancy skills: keen, finding the 'real' question. Relentless but friendly, following processes.
- Internet technology: networks, web applications, HTTP, json, XML (preferred)
- Information security: Fraud, cybercrime, cyber security (preferred)
- Banking/financial sector (preferred)
- Agile-scrum way of working.

Projektdetails

  • Einsatzort:

    Niederlande

  • Projektbeginn:

    asap

  • Projektdauer:

    6 month Extendable

  • Vertragsart:

    Contract

  • Berufserfahrung:

    Keine Angabe

Geforderte Qualifikationen

Global Resourcing