Who we are ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. 

Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Qualify the feasibility of Use Cases, translating business challenges into technical formulations
• Define the business and statistical hypothesis, and build the solution followed by testing and validation
• For those Use Cases that are validated, you will help develop a production-ready solution.

When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered : 

• Assess the quality of the data; clean and aggregate when necessary
• Compare and choose the right algorithms based on defining the right statistical hypothesis
• Develop and train models
• Follow principles of MLOps when moving models to productions
• Troubleshoot the models in production

Profile Minimum requirements : 

• Must have at least 3 years of prior Data Science experience
• VERY Proficient in Python
• Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Ideally Fluent in English

Preferred requirements : 

• Preferred experience in Consulting;
• Preferred experience in Cloud Technologies;
• Good knowledge of Spark;
• Good knowledge of MLOps principles.
  
  

Come join us ! 

Who we are ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. 

Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Qualify the feasibility of Use Cases, translating business challenges into technical formulations
• Define the business and statistical hypothesis, and build the solution followed by testing and validation
• For those Use Cases that are validated, you will help develop a production-ready solution.

When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered : 

• Assess the quality of the data; clean and aggregate when necessary
• Compare and choose the right algorithms based on defining the right statistical hypothesis
• Develop and train models
• Follow principles of MLOps when moving models to productions
• Troubleshoot the models in production

Profile Minimum requirements : 

• Must have at least 3 years of prior Data Science experience
• VERY Proficient in Python
• Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Ideally Fluent in English

Preferred requirements : 

• Preferred experience in Consulting;
• Preferred experience in Cloud Technologies;
• Good knowledge of Spark;
• Good knowledge of MLOps principles.
  
  

Come join us ! 

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact Morocco is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who are we 

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. 

We specialize in data & AI transformation and data-driven marketing to drive tangible business results across the entire enterprise value chain. Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. 

From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1700+ employees operate in 25 countries (Europe, Asia, Americas, Middle East, India, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi.To support this growth, our Consulting department is looking for a Junior Software Engineer.

What is it to be a Senior Software Engineer in Artefact?

As a Senior Software Engineer at Artefact you will work on all aspects of data engineering in multidisciplinary client teams. As a Senior Software Engineer at Artefact, you will be responsible for the good relationship with your clients in terms of software engineering tasks and you will start to supervise more junior profiles.

You will be using data as a tool to solve the real-world problems encountered by various sectors (e.g. retail, luxe, telecom, healthcare). This involves multiple activities:

• You will work in an agile team composed of data experts like you, but also non-technical people.
• You will work on and deploy your software to the cloud (GCP, AWS or Azure).
• You will implement software with Python and SQL to create applications and data transformations.
• You will apply DevOps principles: automating tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (we use terraform), packaging applications in containers (we usedocker), implementing enablers for data observability (we use DBT).
• You will be developing one or more of the following technical expertises: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering

Profile - What we are looking for?

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and  indexation systems (ElasticSearch, Vespa) is a plus 
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English and you are fluent in french to work in our Parisian office.

The recruitment process : 

To join Artefact, we propose to you an hiring process in four steps : 

• HR Call 
• Interview #1 - Coding Test with a senior Software Engineer
• Interview #2 - Architecture and Pipeline Test with a senior Software Engineer
• Interview #3 - Fit Interview with the software engineer Director.

Each interview is an opportunity to talk about your experience and learn more about Artefact and the software engineer position 

Onboarding Process : 

When you join Artefact, we organize an onboarding week to give you a 360 degree view of the company (training to give you the keys of the consulting culture and the consulting skills, share of tips about the project management). This time allows you to meet other newcomers and to have a large vision of the company.

Tasty Benefits : 

• Ideal location: we are based in the heart of Paris in the 9th district. 
• A unique mix of talents (Data consultants, Data Analyst, Data scientist, software engineer), and fast career opportunities. 
• A great place to learn: You will master the key skills of the data consulting world: you will receive regular training on technology, you will work in hybrid teams, you will learn the specific ways of working in tech (product mindset, agility...). At the end of your Artefact experience, you are an experienced technology leader.
• In addition, you have a mentor who will be dedicated to help you in your orientation and your professional development within Artefact.
• Culture: Innovation, Collaboration and Action are our values. We are doers who working together to create innovative solutions

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

📊 Data Scientist (H/F) – CDI

CAPFI recrute pour l’un de ses clients – Acteur du secteur de la micro-finance et de l’inclusion financière

À propos de CAPFI

CAPFI, cabinet de conseil en recrutement spécialisé dans les métiers data et transformation digitale, recherche pour l’un de ses clients un(e) Data Scientist en CDI. Notre client est un acteur majeur du secteur de la micro-finance, de l’inclusion financière et de la recherche appliquée, engagé dans le développement de solutions innovantes pour accompagner les micro-entrepreneurs et les très petites entreprises vers une intégration économique durable.

🎯 Mission principale

En tant que Data Scientist, vous exploiterez les données de l’organisation pour concevoir des modèles analytiques et prédictifs afin d’anticiper les tendances, optimiser les processus et accompagner la prise de décision stratégique.

🛠️ Responsabilités clés

📌 Analyse et modélisation des données

• Collecter, nettoyer et structurer des données volumineuses et hétérogènes

• Développer des modèles statistiques et des algorithmes de machine learning

• Mettre en place des modèles prédictifs et prescriptifs

🚀 Développement et déploiement des modèles

• Tester, valider et optimiser les performances des modèles

• Collaborer avec les équipes IT pour le déploiement en production

• Documenter les modèles et assurer leur maintenabilité

📊 Exploration et valorisation des données

• Identifier des patterns, corrélations et insights cachés

• Traduire les résultats analytiques en recommandations business concrètes

• Concevoir des visualisations avancées pour faciliter la compréhension des résultats

🤝 Collaboration transverse

• Travailler en étroite collaboration avec les équipes métiers (marketing, finance, opérations, risques…)

• Participer à la définition de cas d’usage data à fort impact

• Former et accompagner les équipes sur l’exploitation des modèles

🔍 Veille technologique et innovation

• Assurer une veille sur les nouvelles technologies data, IA et machine learning

• Proposer des solutions innovantes pour améliorer la performance et l’impact de l’organisation

👤 Profil recherché

🎓 Formation

• Bac+5 en Data Science, Statistiques, Mathématiques, Informatique, IA ou équivalent

📌 Expérience

• Minimum 3 ans sur un poste similaire

💻 Compétences techniques

• Maîtrise des langages : Python, R, SQL

• Frameworks ML : Scikit-learn, TensorFlow, PyTorch, XGBoost

• Connaissance des bases de données SQL & NoSQL

• Expérience avec environnements Big Data (Spark, Hadoop)

• Outils de visualisation : Power BI, Tableau, Matplotlib, Seaborn

• Solides notions de méthodes statistiques avancées

🧠 Qualités personnelles

• Esprit analytique et scientifique

• Capacité à résoudre des problématiques complexes

• Excellentes capacités de communication et de vulgarisation

• Autonomie, curiosité et esprit d’innovation