وظائف لخريجي كلية العلوم في المغرب

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p> <strong>Coface</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and quality professional relationships at the core of its operations. A close management approach encourages guidance, empowerment and skills development within a supportive environment. This culture is strongly complemented by a <strong>competitive dimension</strong>, focused on performance, results and customer orientation. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>innovation component</strong> contributes to adaptability and continuous improvement. </p><br><br> <br> Job : <p>Reporting to the Strategy and Development Department, the Data Lab brings together Data Science, AI, and Software Engineering skills to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team has about thirty people spread across Paris, Toronto, and Casablanca.</p><br><br><p>The Data Lab aims to implement best development practices, mainly in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud.</p><br><br><p>Knowledge sharing through presentations among team members, training, and technological watch on reserved time are part of the Data Lab's operating method.</p><br><br><p>The use cases for data science are varied and lead to concrete implementations in internal tools and client applications, for example:</p><br><br><ul><li>Scoring the risk of business failure</li><li>Extracting information from images and documents</li><li>Building and exploiting knowledge graphs</li><li>Search engine specialized in identifying companies</li><li>Financial modeling and simulations</li></ul><p><strong>The missions:&nbsp;</strong></p><br><br><ul><li>You will join Coface's Data Lab team and work most often in pairs or in small teams on innovative projects</li><li>You will fully design and develop solutions that may implement Machine Learning technologies, up to deployment on our container infrastructures or in the cloud, and production monitoring</li><li>You will contribute to technological watch</li></ul> <br> Required profile : <ul><li>Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP...</li><li>Two years or more of experience in a similar role</li><li>Proficiency in Python, its ecosystem, and best practices for code review and continuous integration</li><li>Use of Linux and Git</li><li>Autonomy, curiosity, rigor</li><li>English: projects in international contexts</li></ul><p><br><strong>Appreciated skills:</strong></p><br><br><ul><li>Experience in developing Python applications with high-quality standards</li><li>Implementation of CI/CD pipelines</li><li>Experience with Docker/Kubernetes deployment and cloud applications</li><li>Proficiency in SQL and experience with NoSQL databases (document, graph)</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>CGI Technologies and Solutions Morocco</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its operations. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This dynamic is reinforced by a structured <strong>organizational culture</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by an <strong>innovation dimension</strong> that encourages adaptability and initiative, while a more moderate <strong>competitive component</strong> supports a balanced results-driven mindset. </p><br><br> <br> Job : <p>As part of the development of our Data &amp; AI activities, we are looking for a Data Scientist / Machine Learning Engineer to design, develop, and industrialize advanced analysis, Machine Learning, and Artificial Intelligence solutions.</p><br><br><p>You will be involved in the entire Data Science project lifecycle, from understanding business needs and data exploration to the development, deployment, and monitoring of models in production.</p><br><br><p>You will work closely with the business, Data Engineering, Data Architecture, BI, MLOps, and IT teams to transform data into concrete solutions with high added value.<br>&nbsp;</p><br><br><p><u><strong>Functions and responsibilities</strong></u></p><br><br><ul><li>Analyze business needs and translate them into Data, Machine Learning, or AI use cases.</li><li>Identify, collect, prepare, and analyze the data necessary for various use cases.</li><li>Perform exploratory and statistical analyses to identify trends, correlations, anomalies, and opportunities.</li><li>Design, develop, train, and optimize Machine Learning models.</li><li>Implement classification, regression, clustering, forecasting, and anomaly detection models.</li><li>Evaluate model performance and implement appropriate improvement methods.</li><li>Develop, when necessary, solutions based on generative AI: LLM, RAG, embeddings, AI agents, or equivalent technologies.</li><li>Participate in the industrialization and deployment of models in collaboration with Data Engineering and MLOps teams.</li><li>Develop Python components, APIs, and services to expose the developed models and solutions.</li><li>Contribute to setting up monitoring and tracking the performance of models in production.</li><li>Use Data environments such as Spark, PySpark, Databricks and Data Lake / Lakehouse architectures.</li><li>Participate in software development practices: Git, CI/CD, Docker, and APIs.</li><li>Document data, models, hypotheses, methods, and results.</li><li>Present results and recommendations clearly and understandably to technical and business stakeholders.</li><li>Contribute to the continuous improvement of Data &amp; AI standards, methods, and best practices.<br>&nbsp;</li></ul> <br> <br> Required profile : <ul><li>Master's degree (Bac+5) in Data Science, Artificial Intelligence, Mathematics, Statistics, Computer Science, or equivalent field.</li><li>Professional experience of at least 3 years in Data Science, Machine Learning, or a similar field.</li><li>Very good command of Python and SQL.</li><li>Solid knowledge of statistics, Machine Learning, and predictive modeling.</li><li>Proficiency with tools such as Pandas, NumPy, Scikit-learn and, ideally, XGBoost/LightGBM.</li><li>Experience with PySpark/Spark and Databricks is a significant asset.</li><li>Knowledge of a Cloud environment (Azure, AWS, or GCP) is appreciated.</li><li>Familiarity with MLOps practices and tools such as MLflow, Docker, CI/CD, and Git.</li><li>Experience in generative AI, LLM, RAG, embeddings, or vector databases is an asset.</li><li>Ability to work with large volumes of data and solve complex problems.</li><li>Analytical mindset, curiosity, and a taste for experimentation.</li><li>Autonomy, rigor, and ability to take initiative.</li><li>Good communication skills and ability to explain technical subjects to business stakeholders.</li><li>Ability to work effectively in an international and collaborative environment.</li></ul><p>CGI is an inclusive employer and welcomes applications from people with disabilities and values the career development of both men and women.<br>&nbsp;</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>The Metrology Supervisor is responsible for leading daily calibration, corrective maintenance, and troubleshooting activities for GMP manufacturing, laboratory, utility, and facility systems. This role supervises assigned personnel, prioritizes and schedules work, balances team workload, and ensures activities are completed safely, accurately, and in compliance with GMP, quality, safety, and Maintenance Excellence Program (MEP) requirements.</p><br><p>This position is accountable for timely completion and documentation of work orders, calibration activities, quality records, and related metrology documentation. The Metrology Supervisor partners with Manufacturing, Engineering, Validation, Quality, Reliability, EHS, vendors, and contractors to support equipment reliability, regulatory and client audits, and ensure uninterrupted site operations.</p><br><p>The successful candidate must be able to lead in a fast-paced, manufacturing environment, make sound decisions under pressure, communicate effectively across departments, and maintain a strong focus on safety, quality, compliance, and operational excellence.</p><br><p>Responsibilities:</p><br><ul><li>Supervise metrology personnel responsible for calibration, corrective maintenance, troubleshooting, and emergency response activities.</li><li>Monitor daily work to ensure critical tasks are completed safely, efficiently, and in alignment with production needs.</li><li>Review and implement on-going improvements to the efficiency of the calibration process, including optimizing calibration frequencies based upon increasing levels of confidence and reliability. Support improvement initiatives for new technologies, software/system upgrades, and AI integration and data analytics&nbsp;</li><li>Review work orders to ensure accurate documentation, equipment performance, and timely completion of assigned work within the CMMS (Maximo).</li><li>Monitor calibration work order completion; drive on-time completion, backlog control, and workload balance across the team.</li><li>Provide technical direction, coaching, training, and performance feedback to assigned personnel.</li><li>Maintain training schedules, review document revisions, and ensure personnel remain current on required training.</li><li>Support timekeeping, vacation planning, scheduling, and performance review processes as required.</li><li>Support Change Controls, CAPAs, deviations, equipment investigations (operational issues and out of tolerance events), audit requests, and regulatory inspection activities.&nbsp;</li></ul><br>Qualifications<br><br><ul><li>Bachelors Degree in Engineering, science, or closely related discipline is desired, or equivalent technical experience plus demonstrated competence.</li><li>Desired 6+ years of significant engineering and/or operational experience. A postgraduate education/degree is desired and may contribute towards the desired years of experience.</li><li>Possesses a strong technical knowledge and application of concepts, practices, and procedures.</li><li>Works on problems of complex scope where analysis of situations or data involves multiple competing factors.</li><li>Demonstrates judgment within defined procedures and practices to determine appropriate action.</li><li>Strong oral/written communication skills; ability to listen to and apply feedback from a variety of stakeholders.</li><li>Strong problem identification, analysis, and solution development skills.</li><li>Effective planning, workload management, and organizational skills.</li></ul><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may&nbsp;ultimately&nbsp;pay&nbsp;more or less than the posted range. This range may be&nbsp;modified&nbsp;in the&nbsp;future.&nbsp;​</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</li><li>This job is eligible to&nbsp;participate&nbsp;in our short-term incentive&nbsp;programs.&nbsp;​</li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee&nbsp;remains&nbsp;in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be&nbsp;modified&nbsp;at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;​</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<p>Collaborate with senior data engineers to design, build, and maintain data pipelines and ETL processes. Analyze functional and technical requirements Implement developments on GCP (BigQuery, Cloud Run, Pub Sub, Cloud Function, ). Assist in the integration and transformation of data from various sources. Contribute to the optimization and performance tuning of existing data pipelines. Assist in the development and maintenance of data warehouses and databases. Collaborate with data analysts and data scientists to ensure data availability and reliability. Document and communicate data engineering processes and best practices.</p><p><strong>Desired Candidate Profile</strong></p><p>Enrolled in a Bachelor's or Master's program in Computer Science, Data Science, or a related field. Strong interest in data engineering and data technologies. Strong skills in SQL and Python are a must have. Familiarity with GCP (Google Cloud Platform). Good skills in Looker and Terraform are required. Good problem-solving skills and attention to detail. Strong communication and teamwork abilities.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Reporting to the Strategy and Development Department, the Data Lab brings together expertise in Data Science, AI, and Software Engineering to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team comprises around thirty people based in Paris, Toronto, and Casablanca. The Data Lab strives to implement best development practices, primarily in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the Cloud. Knowledge sharing through presentations among team members, training, and dedicated time for technology monitoring are integral to the Data Lab's operations. Data science use cases are varied and lead to concrete implementations in internal tools and client applications, for example: Scoring the risk of business failure; Extracting information from images and documents; Building and using knowledge graphs; Search engines specializing in business identification; Financial modeling and simulations</font></font></p><p><font dir="auto" ><font dir="auto" >Your role: You will join the Coface Data Lab team and work primarily in pairs or small teams on innovative projects. You will design and fully develop solutions that implement Machine Learning technologies, from deployment on our container infrastructure or in the cloud, to production monitoring. You will also contribute to technology monitoring.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><p><font dir="auto" ><font dir="auto" >Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP</font></font></p><p><font dir="auto" ><font dir="auto" >Two or more years of experience in a similar role</font></font></p><p><font dir="auto" ><font dir="auto" >Proficiency in Python, its ecosystem, and best practices for code review and continuous integration</font></font></p><p><font dir="auto" ><font dir="auto" >Using Linux and Git</font></font></p><p><font dir="auto" ><font dir="auto" >Autonomy, curiosity, rigor</font></font></p><p><font dir="auto" ><font dir="auto" >English: projects in international contexts</font></font></p><h2><font dir="auto" ><font dir="auto" >Desired skills:</font></font></h2><p><font dir="auto" ><font dir="auto" >Experience in Python application development with high quality standards</font></font></p><p><font dir="auto" ><font dir="auto" >Implementation of the CI/CD chain</font></font></p><p><font dir="auto" ><font dir="auto" >Experience deploying Docker/Kubernetes and cloud applications</font></font></p><p><font dir="auto" ><font dir="auto" >Practical experience with SQL and NoSQL databases (document, graph).</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Reporting to the Strategy and Development Department, the Data Lab brings together expertise in Data Science, AI, and Software Engineering to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team comprises around thirty people based in Paris, Toronto, and Casablanca. The Data Lab strives to implement best development practices, primarily in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the Cloud. Knowledge sharing through presentations among team members, training, and dedicated time for technology monitoring are integral to the Data Lab's operations. The use cases of data science are varied and result in concrete implementations in internal tools and client applications, for example: Scoring the risk of business failure; Extracting information from images and documents; Building and using knowledge graphs; Search engines specializing in business identification; Financial modeling and simulations.</font></font></p><p><font dir="auto" ><font dir="auto" >Your responsibilities: You will join the Coface Data Lab team and most often work in pairs or small teams on innovative projects. You will design and fully develop solutions that can implement Machine Learning technologies, from deployment on our container infrastructure or in the cloud, to production monitoring. You will contribute to technology monitoring.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP</font></font></p><p><font dir="auto" ><font dir="auto" >Two or more years of experience in a similar role</font></font></p><p><font dir="auto" ><font dir="auto" >My mastery of Python, its ecosystem, and best practices for code review and continuous integration</font></font></p><p><font dir="auto" ><font dir="auto" >Using Linux and Git</font></font></p><p><font dir="auto" ><font dir="auto" >Autonomy, curiosity, rigor</font></font></p><p><font dir="auto" ><font dir="auto" >English: projects in international contexts</font></font></p><p><font dir="auto" ><font dir="auto" >Desired skills: Experience in Python application development with high quality standards; Implementation of CI/CD pipelines; Experience in Docker/Kubernetes deployment and cloud applications; Proficiency in SQL and experience with NoSQL databases (document, graph).</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p> JOB A QA Automation (Selenium Java / Karate API) + Manuel</p> <p><font dir="auto" ><font dir="auto" >PROFESSIONAL SKILLS</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Development and maintenance of automated test scripts with </font></font><strong><font dir="auto" ><font dir="auto" >Selenium in Java</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Using the Karate</font></font></strong><font dir="auto" ><font dir="auto" > DSL framework </font><font dir="auto" >for API testing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Understanding of REST API concepts and use of tools like Postman.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analysis of functional specifications to define automated test cases.</font></font></li> <li><font dir="auto" ><font dir="auto" >Creating datasets via SQL queries on relational databases (Postgres).</font></font></li> <li><font dir="auto" ><font dir="auto" >Using Jira and Xray for test management.</font></font></li> <li><font dir="auto" ><font dir="auto" >Setting up CI/CD pipelines with Jenkins or GitLab CI.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of the principles of software quality assurance (ISTQB).</font></font></li> <li><font dir="auto" ><font dir="auto" >Good written and oral communication skills.</font></font></li> <li><font dir="auto" ><font dir="auto" >Teamwork in an Agile (Scrum) environment.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >SEARCH PROFILE</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in computer science or equivalent.</font></font></li> <li><font dir="auto" ><font dir="auto" >3-7 years of experience in test automation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience in the retail sector is a plus.</font></font></li> </ul> <p> JOB B QA Automation (Playwright JavaScript / Karate API) + Manuel</p> <p>COMP TENCES PROFESSIONNELLESD</p> <ul> <li><font dir="auto" ><font dir="auto" >Developing automated tests with </font></font><strong><font dir="auto" ><font dir="auto" >Playwright in JavaScript.</font></font></strong> </li> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Using the Karate</font></font></strong><font dir="auto" ><font dir="auto" > DSL framework </font><font dir="auto" >for API testing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Using Gherkin for defining test scenarios.</font></font></li> <li><font dir="auto" ><font dir="auto" >REST API testing with Postman.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analysis of User Stories for test design.</font></font></li> <li><font dir="auto" ><font dir="auto" >Use of relational (Postgres) and non-relational (Couchbase) databases.</font></font></li> <li><font dir="auto" ><font dir="auto" >Using Jira and Xray for test campaign management.</font></font></li> <li><font dir="auto" ><font dir="auto" >Setting up CI/CD pipelines with GitLab CI or Jenkins.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of ISTQB principles.</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborative work in an Agile environment.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >SEARCH PROFILE</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in computer science or equivalent.</font></font></li> <li><font dir="auto" ><font dir="auto" >3-7 years of experience in test automation.</font></font></li> <li><br></li><li><br></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></p> <p><font dir="auto" ><font dir="auto" >Over 49 years of experience </font></font><strong><font dir="auto" ><font dir="auto" >in Full Stack Testing on at least one of the aforementioned environments.</font></font></strong></p></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> Ce que nos collaborateurs aiment le plus chez nous <span>❤</span> : Pour consulter leurs avis certifiés </p><br><br> <br> <br> Company culture : <p> <strong>Sofrecom Maroc</strong> stands out for its <strong>strongly collaborative culture</strong>, where people, trust and employee well-being are central priorities. A close management approach promotes support, accountability and long-lasting teamwork. This collaborative foundation is complemented by a <strong>notable innovation dimension</strong>, encouraging initiative, agility and experimentation. <strong>Structured processes</strong> ensure reliability and operational efficiency, while performance-driven practices play a more supportive and balanced role. </p><br><br> <br> <br> Job : <p><strong>Mission:</strong></p><br><br><p>As part of the Data &amp; AI strategy for value creation, the Data Scientist consultant supports MEA countries in the design, development, and deployment of high-business-value Data &amp; AI use cases.</p><br><br><p>They are involved end-to-end, from understanding business needs and identifying opportunities to developing the solution, industrializing it, and supporting it in production.</p><br><br><p>The consultant works closely with the Data &amp; AI referents in the countries, the Data &amp; AI teams, and the business teams, with a primary objective of transforming use cases into concrete, value-creating solutions.</p><br><br><p>1. Country Support</p><br><br><ul><li>Gather and challenge the business needs of the countries to identify high-potential Data &amp; AI opportunities.</li><li>Translate business problems into concrete and feasible Data Science / AI use cases.</li><li>Support countries in defining the scope, necessary data, KPIs, and success criteria.</li><li>Provide their Data Science expertise to challenge approaches and propose the most relevant solutions.</li></ul><p><br>2. Use Case Development</p><br><br><ul><li>Design, develop, and test Data Science and AI models.</li><li>Perform exploratory analyses, data preparation, modeling, and performance evaluation.</li><li>Use Dataiku as the preferred platform for developing and industrializing use cases.</li><li>Document developments, models, methodologies, and results to facilitate their reuse and replication in other countries.</li></ul><p><br>3. Delivery and Industrialization</p><br><br><ul><li>Support use cases until they go into production, in collaboration with the Data &amp; AI teams.</li><li>Identify the technical, data, and business prerequisites necessary for deployment.</li><li>Monitor the performance of solutions in production and contribute to their continuous improvement.</li><li>Promote the standardization and replicability of solutions across countries.</li></ul><p><br>4. Value Creation</p><br><br><ul><li>Contribute to defining and monitoring KPIs to measure the value generated by use cases.</li><li>Work with business teams to ensure that developed solutions effectively address business challenges.</li><li>Identify opportunities for optimization and extension of deployed use cases.<br>&nbsp;</li></ul> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p><strong>Mission Details</strong></p><br><br><p>Within a team of data scientists and data engineers organized in Scrum Agile mode, the consultant will be involved in implementing analytical and predictive solutions for the Supply Chain.</p><br><br><p>The main responsibilities are:</p><br><br><ul><li>Structure, plan, and coordinate the team's work in collaboration with data scientists, the lead data scientist, data analysts, the Product Owner, business teams, and other technical teams.</li><li>Align the construction of analytical and technical solutions with business needs.</li><li>Advise, guide, and ensure the upskilling of the team's data engineers.</li><li>Be responsible for data science and software development methodologies (qualification of sub-projects, iterative developments, industrialization of solutions, maintainability, measurement, and performance monitoring).</li><li>Arbitrate technical discussions when necessary.</li><li>Ensure continuous technological watch to challenge the existing and propose innovative solutions.</li><li>Contribute directly to projects as a Data Scientist.</li></ul> <br> Required profile : <p>Master's degree (Bac+5) in Computer Science</p><br><br><p>More than <strong>7 years of proven experience</strong> in SQL / BigQuery, Python, GCP, Git, and DBT.</p><br><br><p>Experience in the retail or mass distribution sector is a plus.</p><br><br><p><u><strong>Required Skills</strong></u></p><br><br><p><strong><em>Technical:</em></strong></p><br><br><ul><li><em>SQL / BigQuery</em></li><li><em>Python</em></li><li><em>GCP (Google Cloud Platform)</em></li><li><em>Git</em></li><li><em>DBT</em></li><li><em>Machine Learning &amp; Deep Learning</em></li><li><em>Forecasting and optimization under constraints</em></li><li><em>Industrialization of ML models in a cloud environment</em></li><li><em>Large-scale database manipulation</em></li></ul><p><strong><em>Methodologies &amp; Organization:</em></strong></p><br><br><ul><li><em>Mastery of the complete Data Science project lifecycle</em></li><li><em>Agile Methods: Scrum, Sprint Planning, Backlog</em></li><li><em>Code quality, simplicity, and maintainability</em></li></ul><p><strong><em>Soft skills:</em></strong></p><br><br><ul><li><em>Excellent written and oral communication in French</em></li><li><em>Ability to simplify complex topics for non-technical audiences</em></li><li><em>Analytical mindset and continuous improvement</em></li><li><em>Ability to step back and make proposals</em></li><li><em>Adherence to deadlines and quality standards</em></li><li><em>Team spirit and cross-functional collaboration</em></li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>The consultant will be responsible for:</p><br><br><ul><li>Joining the Digital Factory Supply Chain to support forecasting and optimization topics using data and advanced analysis</li><li>Designing, structuring, and industrializing forecasting calculation tools (store demand forecasting, warehouse load forecasting, supply chain optimization)</li><li>Structuring, planning, and coordinating the team's work in collaboration with Data Scientists, Data Engineers, Data Analysts, Product Owners, and business teams</li><li>Aligning analytical and technical solutions with business and company goals</li><li>Supervising, guiding, and supporting the skill development of more junior profiles</li><li>Ensuring best practices in Data Science and software development (quality, maintainability, performance, industrialization)</li><li>Arbitrating technical choices and contributing to the continuous improvement of methodologies and solutions</li><li>Actively participating in modeling, analysis, and industrialization topics as a senior contributor</li></ul> <br> <br> Required profile : <p>Graduated with a Master's degree (Bac+5) from an engineering school or equivalent university with a specialization in IT, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: between 5 to 7 years</p><br><br><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Excellent command of SQL / BigQuery for exploring, transforming, and analyzing large-scale data</li><li>Excellent command of Python for analysis, modeling, and industrialization</li><li>Good command of GCP (Google Cloud Platform)</li><li>Good command of Git and collaborative development best practices</li><li>Good command of DBT</li><li>Solid command of the complete Data Science project lifecycle (collection, preparation, modeling, evaluation, deployment)</li><li>Proven experience in industrializing Machine Learning solutions in a cloud environment</li><li>Good command of large-scale data manipulation issues</li><li>Good understanding of business issues related to supply chain, forecasting, and optimization</li><li>Command of Agile methodologies (Scrum, Sprint Planning, Backlog)</li></ul><p><strong><u>Soft Skills:</u></strong></p><br><br><ul><li>Technical leadership</li><li>Excellent written and oral communication</li><li>Analytical mindset and critical thinking</li><li>Ability to step back</li><li>Ability to challenge the status quo</li><li>Rigor and attention to quality</li><li>Team spirit</li><li>Ability to simplify complex topics</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>ARCOL</strong> operates within a predominantly <strong>competitive and performance-driven culture</strong>, where ambition, challenge, and the achievement of measurable objectives are central to success. The company promotes <strong>self-improvement</strong>, competitiveness, and a strong <strong>customer focus</strong>, with a clear emphasis on results and market positioning. This performance mindset is supported by a solid <strong>innovation dimension</strong>, encouraging initiative, creativity, and experimentation. It is further reinforced by <strong>structured processes</strong> that ensure efficiency and reliability, while collaboration and people-focused practices play a more secondary role. </p><br><br> <br> Job : <ul><li>Identify processes that can be optimized using AI.</li><li>Manage the deployment projects of Artificial Intelligence solutions.</li><li>Collaborate with different departments to integrate AI into their activities.</li><li>Support teams in adopting new tools and best practices.</li><li>Ensure AI projects comply with the requirements of our ISO management system.</li><li>Stay updated on AI technology developments and propose innovative solutions.</li><li>Measure the gains achieved and monitor projects.</li></ul> <br> Required profile : <ul><li>Minimum Bachelor's degree (Bac+3) in Computer Science, Artificial Intelligence, or Data Science.</li><li>Experience in project management, digital transformation, or Artificial Intelligence.</li><li>Good understanding of business processes.</li><li>Analytical mindset, autonomy, and organizational skills.</li><li>Excellent communication skills and ability to work with multidisciplinary teams.</li></ul><p>We are looking for someone who is:</p><br><br><ul><li>Passionate about innovation and AI.</li><li>Proactive and makes suggestions.</li><li>Able to manage cross-functional projects.</li><li>Results-oriented and focused on continuous improvement.</li><li>Has a strong ability to support change.</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p><font dir="auto" ><font dir="auto" >Within a team composed of data scientists and data engineers organized in Scrum Agile mode, you will work to implement forecasting calculation tools (forecasting store needs for warehouse supply, forecasting warehouse load, etc.).</font></font></p> <p><font dir="auto" ><font dir="auto" >In this context, you will be amenable to:</font></font></p> <p><font dir="auto" ><font dir="auto" > Structure, plan and coordinate the team's work, actively collaborating with data scientists, the lead data scientist, data analysts, the product owner, third-party teams and other technical teams.</font></font></p> <p><font dir="auto" ><font dir="auto" > align the construction of analytical and technical solutions with business and industry challenges</font></font></p> <p><font dir="auto" ><font dir="auto" > to advise, guide, and ensure the skills development of the various engineers on the team</font></font></p> <p><font dir="auto" ><font dir="auto" > to be responsible for the team's data science and software development methodologies (facilitating in particular the qualification of sub-projects, iterative developments, the industrialization of solutions, their maintainability, the measurement and monitoring of their performance)</font></font></p> <p><font dir="auto" ><font dir="auto" > to arbitrate technical debates if necessary</font></font></p> <p><font dir="auto" ><font dir="auto" > to remain attentive to new developments, in order to be able to challenge them and propose solutions if needed</font></font></p> <p><font dir="auto" ><font dir="auto" > contribute to the topics as data scientists</font></font></p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p><font dir="auto" ><font dir="auto" > A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></p> <p> Exp rience de plus de 7 ans en SQL / BigQuery, Python, GCP, Git, DBT </p></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">Job Description <div> <p> <strong><font dir="auto" ><font dir="auto" >Mission</font></font></strong><font dir="auto" ><font dir="auto" > : To design, develop, and maintain robust and scalable applications using PHP (Laravel) for the back end and Vue.js for the front end. Contribution to product quality improvement: unit, integration, and end-to-end testing.</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Significant experience with microservices and event-driven architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in relational databases (MySQL, PostgreSQL).</font></font></li> <li><font dir="auto" ><font dir="auto" >In-depth knowledge of Laravel Eloquent ORM and best practices for query optimization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience in developing and consuming REST APIs and ideally GraphQL.</font></font></li> <li><font dir="auto" ><font dir="auto" >Vue.js best practices: reusable r components, Vuex/Pinia for state management, performance optimization, TypeScript best practices (if used).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Drupal is appreciated: integration with existing backends, content management, module customization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Familiar with DevOps principles and the implementation of CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions).</font></font></li> <li><font dir="auto" ><font dir="auto" >My mastery of version control tools, especially Git.</font></font></li> <li><font dir="auto" ><font dir="auto" >Understanding and application of craftsmanship principles (SOLID, Clean Code).</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastery of Agile methods, particularly Scrum.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></li> <li><font dir="auto" ><font dir="auto" >Over 7 years of experience </font><u><strong><font dir="auto" >in Vue.js / PHP</font></strong></u></font><u> <strong><font dir="auto" ></font></strong></u></li></ul></div><p></p></section>

<p>As a Senior Data Scientist, you will be responsible for the following missions:</p><p><strong>Development of predictive and prescriptive models:</strong> Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized Recommendation engines (collaborative filters, content-based, hybrid systems) to improve cross-sell and up-sell. Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting).</p><p><strong>Data and model engineering:</strong> Collaborate with Data Engineers to define features and prepare necessary training pipelines from the Datalakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, production performance monitoring (drift, bias).</p><p><strong>Business value contribution:</strong> Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to the enrichment of source systems and the Datalakehouse with predictive data.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education:</strong> Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics.</li><li><strong>Experience:</strong> 3-5 years of confirmed experience on similar predictive modeling and recommendation system projects.</li><li><strong>Technical Skills:</strong> Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow or PyTorch). Big Data &amp; Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops &amp; CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</li><li><strong>Methodology:</strong> Agile work (Scrum of Scrums, Weekly follow-up committees).</li><li><strong>Collaboration:</strong> Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p> <strong>Coface</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and quality professional relationships at the core of its operations. A close management approach encourages guidance, empowerment and skills development within a supportive environment. This culture is strongly complemented by a <strong>competitive dimension</strong>, focused on performance, results and customer orientation. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>innovation component</strong> contributes to adaptability and continuous improvement. </p><br><br> <br> Job : <p>Reporting to the Strategy and Development Department, the Data Lab brings together skills in Data Science, AI, and Software Engineering to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team has about thirty people spread across Paris, Toronto, and Casablanca.</p><br><br><p>The Data Lab seeks to implement best development practices, mainly in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud.</p><br><br><p>The projects are numerous and varied with short development deadlines and concrete implementations, for example:</p><br><br><ul><li>Information extraction from images and documents</li><li>Integration of open data and web scraping</li><li>Construction and exploitation of graph databases</li><li>Search engine specialized in company identification</li><li>Data valorization API for major international clients</li></ul><p><br>Training and technological watch on dedicated time, as well as knowledge sharing through presentations among team members, are part of the Data Lab's operating method.</p><br><br><p><strong>The missions:&nbsp;</strong></p><br><br><ul><li>You develop solutions deployed on our container infrastructures or in the cloud, and you implement production monitoring.</li><li>You participate in code reviews of other team members to share knowledge and ensure the quality of developments.</li><li>You propose technical solutions and participate in technological watch.</li></ul> <br> Required profile : <ul><li>Engineering degree or equivalent</li><li>Two years or more of experience in a similar role</li><li>Python application development with high-quality standards and the implementation of good practices for code reviews and continuous integration.</li><li>Use of SQL and NoSQL databases (MongoDB, Neo4j, ElasticSearch, Redis...)</li><li>Implementation of monitoring dashboards (Kibana, Grafana)</li><li>Autonomy, curiosity, teamwork, and knowledge sharing</li><li>Communication in English (projects in international contexts)</li></ul><p><br><strong>Appreciated skills:&nbsp;</strong></p><br><br><ul><li>Implementation of CI/CD chains and Docker/Kubernetes deployment</li><li>Design of high-availability application architectures</li><li>Skills in data science-oriented libraries (e.g. Pandas)</li><li>Knowledge of Linux administration</li><li>Deployment of applications in the cloud and infrastructure-as-code</li><li>Front-end programming (React or Angular or Vue.js...)</li></ul> <br><br> </div>