Détails de l'annonce
Référence:
129845
Publiée le:
5 février 2021
Type de poste:
CDI
Lieu de travail:
Carthage, Tunis, Tunisie
Expérience:
Entre 2 et 5 ans
Étude:
Bac + 5
Disponibilité:
Plein temps
Langues:
Français , Anglais
Entreprise:
ELYADATA
Secteur: informatique / télécoms
Taille: Moins de 20 employés

At Elyadata, we’re shaping the future of our clients by providing them R&D services on AI and data-related fields. 

Founded in 2012, our passion for technology, new ideas and out-of-the-box thinking has led us to provide the ROI customers expect from their investment. 


Our experts work side by side with our clients and partners to help them capture value and sustain it through AI and Data empowered solutions. We have a proven track record of successful AI and Data projects that lead to outstanding success for our clients’ businesses. 


Description de l'annonce:

At Elyadata, we’re shaping the future of our clients by providing them R&D services on AI and data-related fields. 

Founded in 2012, our passion for technology, new ideas and out-of-the-box thinking has led us to provide the ROI customers expect from their investment. 

We believe that with the right experts, AI and Data projects can provide huge success to our customers. 


Our experts work side by side with our clients and partners to help them capture value and sustain it through AI and Data empowered solutions. We have a proven track record of successful AI and Data projects that lead to outstanding success for our clients’ businesses. 


We are currently growing and looking for an ambitious and highly-motivated Data Scientist to join our team.

You will be based in our office in Tunis and will be working closely with our CEO. 




What You’ll Do


  • Understand the business context of the use cases. 

  • Evaluate the availability and quality of data in relation to the AI Product Owner and Data Engineers. 

  • Explore data in depth and prepare datasets. 

  • Identify the right AI/Machine Learning approaches to address business needs for both MVP and industrialisation. 

  • Identify risks and technical KPIs. 

  • Co-design the target architecture of the product in collaboration with Data Engineers, Devops/MLops and architect. 

  • Building a model for its industrialisation. 

  • Optimise the model thanks to the Features Engineering & hyperparameter settings. 

  • Test & iterate different parameters based on user feedback. 

  • Develop a battery of tests to prepare the industrialisation of the model. 

  • Solve model problems during the industrialisation phase. 

  • Explain technical choices

  • Read & present state-of-the-art papers 



Who You Are

  • Master’s degree or equivalent in engineering, information technology, mathematics, physics or related field

  • Experience with and/or a strong interest in developing algorithms and scientific programming

  • Demonstrated knowledge of Python

  • Demonstrated knowledge of database design and SQL programming

  • Demonstrate analytical skills and critical thinking

  • Good level of English (written and spoken)


Technical skills


  • Successful experiences in Data Sciences projects for major accounts. 

  • Experiences in python coding, kaggle challenge... 

  • In-depth knowledge of Data Science algorithms and at least one successful experience in the development of a Machine Learning model. 

  • Mastery of data processing languages (Python, SQL, R, etc.). 

  • Knowledge of Cloud technologies and services (GCP, Azure, AWS, etc.). 

  • Ability to work on on-premise technologies (e.g. Hadoop, Scala) or Cloud. 

  • Strong technical curiosity and strength of proposal in the selection of models. 

  • Experience of projects in agile mode (backlog, sprint planning, sprint demo, etc.). 

  • Knowledge of deep-learning frameworks (e.g. TensorFlow). 


Soft Skills

  • Strong interpersonal and organisational skills

  • Strong verbal and written communication skills

  • Ability to manage time effectively, work independently, and be self-motivated

  • Energetic, upbeat, tenacious team player

Why Elyadata?


Here at Elyadata, we believe that our people are our most valuable assets. Each talent is unique, and working among a team in an inclusive environment will only bring the best out of each and every one. 


We embrace diversity, ambition and curiosity. Whether you are working on Software Engineering, Data Analysis or Marketing, we act as one team to deliver valuable results to our clients. 

We respect new ideas, big or small because we strongly believe that it is a precious opportunity to interact and build-upon them. 

We relentlessly strive to grow, take on new challenges and exceed expectations.


We are determined to accommodate our employees with the best work environment, ensure a great work-life balance and commit to providing them with all the support they need.

We value progress and performance and spare no effort in training our employees offering them specific knowledge and the right skills to excel in their positions.


If you have the hunger to deliver exceptional results and work as a member of a highly-qualified team, then this job is for you !