Data Scientist Contrat : CDI

Altados est un acteur de la transformation numérique. Avec ses collaborateurs, Altados accompagne la transformation de ses clients au Maroc et en France, depuis la réflexion stratégique jusqu'à l’exécution technologique et opérationnelle, en faisant appel aux expertises de tous ses consultants.

Altados accompagne ses clients dans la découverte, le test et l'appropriation des technologies présentes et futures. Ainsi, les clients pourront mesurer et maitriser leur impacts sur les organisations existantes et envisager sereinement les potentialités nouvelles et leurs avantages.

Altados met au cœur de sa stratégie fondamental l'élément Humain. Toute réussite est basée sur l'implication et l'adhésion de toutes les parties prenantes. Altados œuvre à être porteur d'un message fédérateur autour des changements afin de s'assurer de l'engagement inconditionnel de tous les acteurs de la transformation.

Altados avance et façonne pour que les réalisations et les mutations de l'entreprise soient toujours au service de la performance et de la compétitivité de ses clients.

NOS VALEURS :

Engagement ; Exigence ; Excellence ; Bienveillance

NOTRE POLITIQUE RH :

Une réputation irréprochable, Un faible Turn-over, Un sens de l'engagement, Une politique de partage des résultats financiers,
Un management participatif, délégatif et par motivation,
Un Investissement dans le bien être, le confort, la gestion de la carrière et la formation des collaborateurs.

On behalf of one of its clients based in Tangier, ALTADOS By Niji is looking for a “Data Scientist ” for a permanent contract (CDI).

Work instructions, procedures and information :

The Data Scientist uses its analytical, statistical and programming skills to collect, analyze and interpret large data sets. It is responsible for developing and maintaining data science models to serve digital use cases. It belongs to the Data Center of Excellence, and is detached to domains to work on use-cases in product teams.

Missions

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• Support data domains to ideate, design & deliver digital use cases using data science models
  
• Maintain models and provide support to data model users
  
• Conduct experimentation and contribute to the Data Science community
  

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• IPIs and/or main deliverables : Data Science models
  

Activities :

Data Science use-case delivery :

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• Contributes to use-case ideation, framing & scoping activities under the lead of a Data Manager. In particular,
  
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  • Identifies data science opportunities lying in the Data Domain
    
  • Works with the Data Manager and Data Engineer to frame data needs & data quality
    
  • Works with the Data Manager and possibly a designer or a BI engineer to shape the use-case UX & UI for the user to take best advantage of the models
    
  • Studies, designs and develops models for analysis, exploitation, prediction and restitution of data
    
  • Defines data quality controls to ensure model robustness
    
  • Works closely with data engineers on data models & pipelines
    
  • Pushes models to production (MLOps)
    
  • Use-case run :
    
  • Monitors and maintains its models, adopting MLOps best practices, with possible support of IT Operations
    
  • Provides support to users on Data Manager demand
    
  • Sets up and implements adoption metrics and ML success metrics
    
  
  
  
• Innovation & Data Science community :
  
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  • Performs data science peer reviews in other projects from any Data Domain
    
  • Conducts experimentation projects with new models and techniques, sets up demonstrators and POV (Proof of Value) with the business teams
    
  • Actively participates in the Data Science community to
    
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    • Improve data science processes and tools, e.g., MLOps
      
    • Share project return of experience
      
    • Train peers in advanced data science technologies
      
    • Train the data citizen for self-modeling & statistics.
      
    
    
    
  
  
  

Competences requirements :

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• Knowledge / Qualification : Degree in Mathematics, Applied Mathematics, Computer Science, Engineering or relevant field; Data Science or other quantitative field is preferred
  
• Previous Experience (If relevant) : Proven Experience as Data Scientist using a variety of data mining/data analysis methods, data tools to build and implement models.
  
• Key technical competencies :
  
• Proficiency in Mathematics, Statistics and Machine Learning
  
• Proficiency in Python, R, Spark
  
• Knowledge in small- & large-scale database design, maintenance and querying (SQL & nonSQL, Kafka consumers, ElasticSearch...)
  
• Cloud services
  
• Experience creating and using advanced machine learning algorithms and statistics with open source libraries (ScikitLearn, TensorFlow...): regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  
• MLOps technologies and experience in moving and maintaining a Machine Learning model in production
  
• Data mining, cleaning, collecting & analysis
  
• Data visualization
  
• Tool building for automation, CI/CD
  
• Interface : Use-case users, Data Office, Data Managers, Center of Excellence, IT, plants.
  
• Key behavioral competencies (on top of PO Group competencies) :
  
• Effective communicator
  
• Strong analytical skills
  
• Problem-solver
  
• Other requirements :
  
• Strategic understanding on how Data enables business goals
  
• Product Management and agile methodologies
  
• Understanding of PO’s technological environment
  
• Interest in data management.