DATA SCIENTIST

ABOUT US

The European Organisational Research Group is a Talent Finding, HR Assessment and Development company for large European groups. For many years, EORG has been investing in high technology forevaluation and development of middle and top management figures.
Its process of recruiting is a revolutionary Talent Finding and Assessment Strategies service and it bases the selective process on articulated phases of web assessments, which allow to respond to clients with a high depth of analysis in terms of technical, behavioural, and managerial evaluations.

OUR CLIENT


Our client is a prestigious multinational European Institution. 


It is spread over several locations worldwide, from where specific international projects are supported.


It planned to insert some professional profiles necessary to deal with new international projects. 

 

A great opportunity to launch your career in an international, structured dimension of continuous research and study.

The company wishes to evaluate a qualified DATA SCIENTIST, who satisfy the different requirements, in term of curriculum, knowledge and skills: 

We are looking for motivated Data Scientist to work in a challenging and exciting environment within the team. We are looking for candidates with a track record of University Research, delivering innovative solutions that have a real impact, whilst working collaboratively with others to ensure the right analytical/statistical solution is delivered in an effective and efficient way. You will have the opportunity to further embed an evidence-based approach within the company and influence people and business-related decision making.

 

The role will include ensuring analytical methods transform findings to insightful actions and drive real improvements.  You will lead projects independently and work as part of larger teams consisting of data scientists and analysts.

Responsibilities


Specific responsibilities will be tailored to reflect your strengths and development needs, but you will also contribute to:

 

  • The vision for data science and/or analytics 

 

  • Working with analytical colleagues, you will bridge the gap between analysis and insights, finding effective ways to explain findings with context, to drive action and deliver business outcomes 

 

  • The team’s awareness of the wider data science landscape and emerging technologies 

 

  • Drive up knowledge and build capability in the team and more widely, employing a broad range of analytical methods, techniques and approaches to enhance the maturity of analytical findings produced

 

  • Knowledge of statistical analysis techniques and an aptitude for interpreting and disseminating analytical findings. 

 

  • Experience of coding in at least one statistical/mathematical package or programme. 

 

  • Experience of communicating insights with a range of executive and non-executive stakeholders

 

  • An adaptable team player, with experience of working collaboratively and confidently with others yet is comfortable using initiative when working alone

 

 

DESIDERABLE SKILLS

  • Phd in Data Science or similar

  • Master's degree in Data Science, Computer Engineering or equivalent 

  • Excellent knowledge of the software development cycle

  • Excellent knowledge of the main machine learning algorithms

  • Excellent knowledge of model validation techniques

  • Excellent knowledge of the Python programming language 

  • Good working knowledge of at least one Python framework for machine learning (e.g., TensorFlow, Keras, PyTorch) 

  • Experience in implementing deep learning-based algorithms for the analysis of unstructured data (text, images, video)

  • Excellent knowledge of the English language, both spoken and written 

  • Experience of R programming. 


Residence in Varese o availabilty to relocate in the norh of Lombardia (Italy)

If interested, please in send your update cv, following the link above and  specifying your current salary package

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LOCATION: North of Lombardia (Italy)

CONTRACT: Fixed term or contract

AVAILABILITY: As soon as possible.