Data IA F/H — Orange CI
The main objective of this function is to address the problem of optimizing Roaming traffic orientation, also called steering of Roaming.
Job overview
It will have to carry out analyses and contribute to the resolution of these different problems in an uncertain context (uncertainty on traffic forecasts, uncertainty as to whether subsidiaries reach the recommended target % of traffic orientation).
The main objectives of this position will be to model the different sources of uncertainty in the Roaming context, to qualify their impacts and to integrate the consideration of uncertainty into the optimization of Roaming strategies.
Main duties
As an Engineer Data AI, you will be responsible for the following activities (this list is not exhaustive):
Understand the major characteristics of roaming activity, technical, economic and regulatory specificities, different types of commercial agreements between operators at the end of the 360° training on Roaming activities.
Read about the work undertaken by other teams in the group (algorithm, code, architecture, etc.) and produce work for the optimization of the wholesale roaming market.
Model the uncertainties identified from statistical modelling of the uncertainties collected in the actual data histories.
Analyze the impact of uncertainties in terms of costs/income by simulation.
Ensure the design of models, to integrate uncertainty in the optimization of roaming strategies.
Develop and test algorithms for imagined models.
Define the algorithms to be used in a data science study and implement them.
Challenge the results obtained by the different data scientists of the group and guarantee their relevance, rigors and reliability.
Contribute to the creation of labeled learning and testing datasets.
Perform critical data science studies that can be requested by the various W-Lob instances.
Contribute to technical choices, and reference architecture based on data Lake.
Education
Bac+5, specializing in Data AI or Applied Statistical Mathematics.
Experience
At least 6 months of experience in the statistical field. A first experience in the realization of Data AI projects would be highly appreciated.
Know-how
Knowledge of theoretical statistical mathematics; knowledge in Artificial Intelligence (Machine Learning Techniques and Deep Learning Techniques); knowledge of DevOps tools and practices; knowledge of multi-project management methodologies; knowledge of software development technologies.
Soft skills
Spirit of analysis and synthesis; strength of proposal and persuasion; ability to communicate orally and in writing; relational and team spirit; rigor and organization.
About Orange Services Group (GOS)
The Orange Services Group (GOS) is a pooling entity of the Africa and Middle East region that was created in 2011 with the support and participation of Orange SA and Orange subsidiaries in West and Central Africa.
The GOS aims to be the preferred recipient of shared systems & PFS in the MEA area, the Cloud Provider of reference, preferred partner of digital transformation, and the reference manager of centers of expertise in the MEA area.
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