Description du poste Key responsibilities :
- 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
Activities :
1- Delivery :
- Contributes to use-case ideation, framing & scoping activities under the lead of a Data Manager
- 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 the 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)
2- 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
3- Innovation & Data Science community :
- 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
- 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
Requirements :
- Degree in Mathematics, Applied Mathematics, Computer Science, Engineering, or relevant field; Data Science or other quantitative field is preferred
- Proven Experience as a Data Scientist using a variety of data mining/data analysis methods, and data tools to build and implement models.
- 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
- Effective communicator
- Strong analytical skills
- Problem-solver
- Strategic understanding of how Data enables business goals
- Product Management and Agile Methodologies
- Understanding of PO's technological environment
- Interest in data management
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Détails du poste Lieu de travail Maroc Domaine de la société Autres Services de Soutien aux Entreprises Type de société Non spécifié Type demploi Non spécifié Salaire mensuel Non spécifié Nombre de postes à pourvoir Non spécifié