Programming in Morocco

<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>The consultant will be responsible for:</strong></p><br><br><p>- Contributing with the technical referent to ensure the operation and evolution of service offerings (Datalab, Data Descent, Repositories, Data Sharing).</p><br><br><p>- Supporting the adaptation of existing offerings and the progressive migration to Unity Catalog.</p><br><br><p>- Participating in scoping workshops, business pilots, and Unity Catalog demonstrators.</p><br><br><p>- Contributing to process automation via PETS, Tango, API, and Terraform.</p><br><br><p>- Developing scripts, automated workflows, and quality controls.</p><br><br><p>- Ensuring the quality of deliverables and the compliance of implementations.</p><br><br><p>- Implementing checklists, procedures, and reusable templates.</p><br><br><p>- Participating in technical studies, impact analyses, and platform evolutions.</p><br><br><p>- Being proactive in simplification, automation, and innovation.</p><br><br> <br> <br> Required profile : <p>Master's degree (Bac+5) in computer science or equivalent.</p><br><br><p>Experience between 3 and 4 years.</p><br><br><p>Proven experience in Data Engineering on Azure cloud environment, with proven practice of Databricks, Terraform, and data governance principles.</p><br><br><p><strong>Required skills:</strong></p><br><br><p>Data &amp; Cloud: Databricks, Spark, Python, SQL, Azure<br>DevOps: Git, CI/CD, Terraform, Azure DevOps<br>Data Platform: Unity Catalog, Data Governance, Data Products, Data Observability<br></p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p> <strong>G</strong><strong>roupe Smeia</strong> operates within a <strong>well-balanced culture</strong>, with innovation forming the core of its approach through creativity, experimentation, and the encouragement of initiative. This dynamic is supported by a strong collaborative dimension, emphasizing trust, accountability, and high-quality human relationships. The company also relies on structured processes to ensure efficiency, reliability, and consistency, while maintaining a clear focus on performance and results. Together, these elements create a versatile culture that blends agility, teamwork, operational discipline, and performance orientation. </p><br><br> <br> Job : <p>Reporting to the Head of New Vehicle Sales Department, the Product Genius's missions are:</p><br><br><p>Welcome visitors to our showrooms, introduce them to the brand, products, and technologies, using in-depth knowledge and innovative tools, or through a test drive.</p><br><br><p>Increase sales indirectly by providing customers with essential information about products, service offers, features, functions, and benefits, while creating a feeling of being treated in a unique way.&nbsp;</p><br><br><p>Inform customers about the specifications of all the brand's products.</p><br><br><p>Conduct demonstrations of product features and technologies to customers, prospects, and after-sales service to showcase the vehicles' main functions.</p><br><br><p>Answer questions related to the user manual (non-technical advice).</p><br><br><p>Contribute to the selection and presentation of vehicles in the showroom.</p><br><br> <br> Required profile : <p>Graduate of a top business school.</p><br><br><p>Passionate about our brands and naturally gifted in customer relations, technology, and teaching, you are made to be a Product Genius!</p><br><br> <br><br> </div>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description: We are looking for a Data Expert with a strong interest in Artificial Intelligence, capable of working on complex data projects and supporting our clients in leveraging their data. You will work on Data Engineering, Data Architecture, Analytics, and AI challenges, while participating in the design of innovative and scalable solutions. Your main responsibilities will include: Designing and implementing robust, scalable, and secure data architectures; developing and optimizing data pipelines (ETL/ELT); participating in the design of data platforms and the modernization of existing architectures; leveraging and enhancing data to address business challenges; contributing to projects related to AI, Machine Learning, and GenAI; identifying relevant AI use cases and contributing to their deployment; and working with Data Scientists, Data Engineers, Architects, and business teams. Participate in technology monitoring and propose new Data &amp; AI solutions. Support teams in implementing best practices in Data and AI.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (or equivalent) in Computer Science, Data Science, Engineering, or a related field. Minimum 8 years of experience on data projects. Solid understanding of Data Engineering/Data Architecture concepts. Proficiency in SQL and Python. Experience with cloud environments: Azure, AWS, or GCP. Knowledge of Big Data and/or Data Platform technologies. Experience with Machine Learning, GenAI, LLM, RAG, or AI Engineering would be a significant asset. Strong ability to understand business challenges and propose appropriate solutions. Professional English. What we are primarily looking for: A Data Expert profile, capable of taking a step back and analyzing complex architectures and problems, with a strong interest in AI and a desire to progressively integrate new AI technologies into data projects.</font></font></p>

<p>Administration and Technical Support: Management of SharePoint sites, document libraries, lists, workflows, and permissions. Resolution of technical incidents (access, synchronization, file sharing, permission conflicts). Supervision of data migrations. Automation via Power Automate and PowerShell. User Support: Training and user support, writing guides, L2/L3 support, collaboration with Microsoft 365 teams. Optimization and Evolution: Proposal of improvements, participation in the technical roadmap, analysis of usage metrics.</p><p><strong>Desired Candidate Profile</strong></p><p>Bac+2/3 in IT or telecommunications + 2 to 3 years of experience in SharePoint/OneDrive or Microsoft 365 administration.</p><p>Technical: SharePoint Online Administration, OneDrive, Microsoft 365 (Exchange Online, Teams, Power Platform), PowerShell, Power Automate, DLP policies, encryption, MFA, Conditional Access, migration tools (ShareGate, AvePoint), knowledge of DNS/proxy.</p><p>Functional: Project management, user support, technical analysis.</p><p>Soft Skills: Autonomy, responsiveness, team spirit, sense of service, technical English.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are looking for a motivated and detail-oriented Junior Accountant to join our Finance team.<br> This position is ideal for a candidate with approximately 1 year of accounting experience who is eager to develop their skills in a dynamic and international environment.<br> The successful candidate will support daily accounting activities, ensure accurate financial records, and assist with month-end close processes.<br> French fluency and a good working level of English are required, as the role involves interaction with both local and international stakeholders.<br> Key Responsibilities · Process and record supplier &amp; customer invoices, employee expenses, and accounting entries.<br> · Perform accounts payable and accounts receivable reconciliations.<br> · Assist with bank reconciliations and cash management activities.<br> · Support month-end and year-end closing processes.<br> · Maintain accurate accounting records and supporting documentation.<br> · Prepare and review financial reports and accounting schedules.<br> · Follow up on outstanding receivables and support collection activities.<br> · Assist with VAT declarations and other tax-related filings.<br> · Support internal and external audits by providing required documentation.<br> · Ensure compliance with company policies and applicable accounting standards.<br> · Participate in process improvement initiatives within the Finance department.<br> Qualifications &amp; Experience · Bachelor's degree in Accounting, Finance, Business Administration, or a related field.<br> · Approximately 1 year of professional experience in accounting, finance, or bookkeeping.<br> · Basic understanding of accounting principles and financial reporting.<br> · Experience using ERP systems or accounting software is an advantage.<br> · Strong proficiency in Microsoft Excel.<br> What We Offer · Opportunity to develop professionally within a fast-growing organization.<br> · Exposure to an international business environment.<br> · Collaborative and supportive team culture.<br> · Training and career development opportunities.<br> · Competitive compensation and benefits package.<br> Languages French : Fluent, written and spoken English : Good professional working proficiency, written and spoken Skills &amp; Competencies · Strong attention to detail and accuracy.<br> · Good analytical and problem-solving skills.<br> · Ability to manage multiple tasks and meet deadlines.<br> · Strong organizational skills.<br> · Team-oriented mindset with excellent communication abilities.<br> · Proactive attitude and willingness to learn.<br> · High level of integrity and confidentiality.<br></span> </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><strong>Candidates may reside in any of the following areas: Boston, MA or New York state.</strong></p><br><p><br>The Hybrid Sales Team supports Field Sales, operational, and Marketing initiatives utilizing a set of approved best practices, job aides, and quality metrics to build lasting relationships with Healthcare Practices across the nation.</p><br><p>Our team is searching for high energy, self-motivated, dynamic individuals wishing to join a team environment that values individual achievement in a quota driven/incentivized role. Candidates must be able to work in a fast-paced environment with a continued focus on utilizing phone and in-person channels with healthcare professionals to achieve brand objectives.</p><br><p>Successful candidates will possess strong verbal communication skills, be highly organized, flexible, self-starter and can articulate value on a consistent basis through creating positive customer interactions and lasting relationships.</p><br><p>Responsibilities</p><br><ul><li>In-person as well as virtual coverage for field sales vacancies and potentially other business needed support</li><li>Ability to use sales techniques to ensure positive results to assigned list of healthcare professionals</li><li>Verify and complete required data entry including details of the interaction, and any follow through actions in accordance with policies and procedures, ensuring data integrity</li><li>Manage daily sales call activity to optimize time and maximize the achievement of sales objectives</li><li>Listen and respond appropriately to customer questions and needs, ensuring acceptance of, or agreement with a “call plan” objective</li><li>Demonstrate thorough knowledge of products and ensure clear, concise and accurate communication of product information with target audiences using proper medical terminology within Compliance guidelines</li><li>Successfully complete all product and Compliance training (self-study, testing, field work and classroom training or electronically) and meet training expectations to service customers within the parameters of the program</li><li>Demonstrate effectiveness working independently and in a team environment</li><li>Process customer requests related to product samples and resources in a timely, accurate, and professional manner</li><li>Project a professional company image through all personal and phone interactions with customers and internal partners</li><li>Display a positive attitude and customer focus, provide timely resolution for all customer issues, concerns, and/or questions</li><li>Be able to manage call activity and messaging with AbbVie approved best practices and compliance regulations</li><li>Effective and timely communication with Manager</li><li>Must safeguard patient privacy and confidentiality by following the guidelines set forth in the Privacy and Security Rules of the Health Insurance Portability and Accountability Act (HIPAA)</li></ul><br>Qualifications<br><br><ul><li>Up to 50-70% travel for in field coverage, national conferences, and training. Requires flexibility to adapt to occasional changes in geographies, travel plans and schedules</li><li>Bachelor’s degree or equivalent experience</li><li>Sales experience preferred / 0-2 years of relevant sales experience is required</li><li>The ability to work independently, highly organized and superior communication skills</li><li>Experience in the healthcare industry involving interaction with physicians and office staff preferred</li><li>Skills demonstrating professional phone etiquette</li><li>Ability to use Microsoft Office, Outlook MS Word, Excel, PowerPoint</li><li>Ability to learn, assimilate information into practice to follow established, mandatory best practices including, but not limited to<ul><li>Daily activity, goals, metrics</li><li>Expedient, usage of database and other core tools</li><li>Maintaining strict quality control standards and performance monitoring</li><li>Partner with field sales, operations, and marketing to further identify methods to improve effectiveness</li></ul></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><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Gather, challenge, and validate migration and reporting requirements with business teams. Analyze Microsoft Dynamics AX data structures and define mappings to SAP. Define, document, and validate data transformation rules. Identify and resolve data quality issues. Act as the interface between business, migration, data engineering, reporting, and development teams. Participate in the design, testing, and execution of migration activities. Perform data analysis, reconciliation, and validation. Contribute to data cleansing and cutover preparation. Design and support the implementation of Data Warehouse solutions. Translate business requirements into dimensional data models according to Kimball principles. Design, develop, and maintain ETL/ELT processes with Microsoft Fabric. Participate in the implementation of Lakehouse, Data Warehouse, and OneLake architectures. Define and maintain fact and dimension models. Identify KPIs, reporting needs, and analytical use cases. Participate in the creation and validation of semantic models and Power BI datasets. Ensure data consistency, traceability, lineage, and governance. Perform reconciliations between source systems, migration environments, SAP, and reporting layers. Contribute to data governance best practices, standards, and frameworks.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills: Strong proficiency in SQL. Good understanding of ETL/ELT processes and data transformation. Solid knowledge of Data Warehousing concepts. Experience in analytical modeling. Hands-on experience with Microsoft Fabric. Proficiency or experience with Fabric Data Factory, Dataflows, Lakehouse, and Data Warehouse. Experience in developing and maintaining ETL/ELT pipelines. Understanding of Medallion Architecture: Bronze, Silver, Gold. Knowledge of Power BI semantic models and datasets. Knowledge of DAX is a plus. Understanding of governance, lineage, metadata, and data quality.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Behavioral skills: Excellent communication skills. Strong stakeholder management skills. Analytical mindset and problem-solving abilities. Ability to bridge the gap between business and technical teams. Autonomy, proactivity, and results-oriented. Ability to work in an international and cross-functional environment. Attention to detail and a collaborative spirit.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Bachelor's degree (3 years of higher education) or Master's degree (5 years of higher education) in Computer Science, Data Engineering, Business Engineering, Computer Science, or a related field. Minimum 3 years of experience in data migration, data analysis, Business Intelligence, Data Warehousing, or ERP projects. Experience in data migration and analysis. Experience in dimensional modeling and Kimball methodology. Experience in designing Star Schema and Snowflake Schema models. Experience with fact tables, dimensions, surrogate keys, and Slowly Changing Dimensions.</font></font></p>

<p>Main responsibilities: Assisting with market research, involving collecting data on consumer trends, competitor activity, and market size to identify growth opportunities and potential threats. Analyzing data and interpreting market research findings, sales data, and consumer feedback. Brand Strategy &amp; Planning by supporting the development and execution of marketing plans, developing point-of-sale materials and coordinating digital marketing campaigns and assist in monitoring marketing expenses and ensuring the team stays within budget. Product Launches &amp; Innovation as in supporting new product development, developing launch materials and tracking launch performance. Communication &amp; Collaboration where you ll be working closely with cross-functional teams, presenting findings and recommendations, and staying up-to-date on industry trends. Professional/Hard Skills Analytical Skills: Deciphering market data, consumer insights, and sales figures to identify trends and make data-driven decisions. Marketing Fundamentals: A solid understanding of marketing principles, including segmentation, targeting, positioning, and the 4Ps is key. Project Management: Being organized, setting priorities, meeting deadlines, and juggling multiple projects effectively is essential. Budget Management: Understanding how to track marketing spend, analyze ROI, and work within budget constraints is important. Presentation Skills: Clearly and persuasively presenting ideas, strategies, and results to stakeholders is a must-have skill. Computer Skills: Proficiency with office software (Word, Excel, PowerPoint), data analysis tools, and presentation software is expected. Soft Skills Communication: Exceptional written and verbal communication is key for collaborating with teams, crafting compelling messaging, and delivering impactful presentations. Creativity: Generating innovative ideas for campaigns, promotions, and product development helps a brand stand out. Problem-Solving: Identifying challenges, analyzing options, and developing effective solutions is a critical aspect of the role. Teamwork: Collaborating effectively with diverse teams across various departments is essential for smooth project execution. Adaptability: The fast-paced nature of brand management requires flexibility, adjusting to change quickly, and being open to new ideas. Passion for the Industry: Genuine enthusiasm for the beauty and personal care industry, along with L'Or al's brands, is a huge asset.</p><p><strong>Desired Candidate Profile</strong></p><p>Professional/Hard Skills Analytical Skills: Deciphering market data, consumer insights, and sales figures to identify trends and make data-driven decisions. Marketing Fundamentals: A solid understanding of marketing principles, including segmentation, targeting, positioning, and the 4Ps is key. Project Management: Being organized, setting priorities, meeting deadlines, and juggling multiple projects effectively is essential. Budget Management: Understanding how to track marketing spend, analyze ROI, and work within budget constraints is important. Presentation Skills: Clearly and persuasively presenting ideas, strategies, and results to stakeholders is a must-have skill. Computer Skills: Proficiency with office software (Word, Excel, PowerPoint), data analysis tools, and presentation software is expected. Soft Skills Communication: Exceptional written and verbal communication is key for collaborating with teams, crafting compelling messaging, and delivering impactful presentations. Creativity: Generating innovative ideas for campaigns, promotions, and product development helps a brand stand out. Problem-Solving: Identifying challenges, analyzing options, and developing effective solutions is a critical aspect of the role. Teamwork: Collaborating effectively with diverse teams across various departments is essential for smooth project execution. Adaptability: The fast-paced nature of brand management requires flexibility, adjusting to change quickly, and being open to new ideas. Passion for the Industry: Genuine enthusiasm for the beauty and personal care industry, along with L'Or al's brands, is a huge asset.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>PwC</strong> operates within a <strong>highly structured and process-driven culture</strong>, where rigor, reliability and quality standards are central to performance. This framework is closely balanced by an equally strong <strong>collaborative dimension</strong>, promoting trust, teamwork and a supportive, people-focused leadership style. A <strong>measured competitive mindset</strong> reinforces results orientation and market reputation, while innovation remains present but more controlled and secondary. </p><br><br> <br> Job : <ul><li>Produce and formalize the deliverables from workshops held with Process Owners.</li><li>Update the process repository.</li><li>Develop and update process maps.</li><li>Write procedures and operating methods.</li><li>Contribute to the identification and documentation of risks, controls, and KPIs.</li><li>Feed and update program management tools (dashboards, repositories, tracking indicators).</li><li>Participate in the preparation of reporting materials and in tracking the program's progress.</li></ul> <br> <br> Required profile : <ul><li>Master's degree (Master of Science, Business School, or Master's in Audit, Internal Control, Quality, Organization, or Process Management).</li><li>First experience desired (1 to 2 years) for a fixed-term contract or end-of-studies internship (PFE) for an intern.</li><li>Excellent writing skills for procedures, process documentation, and summarization.</li><li>Good analytical and communication skills.</li><li>Comfortable in exchanges with various stakeholders and ability to formalize business needs.</li><li>Good command of Microsoft Excel and PowerPoint tools.</li><li>Experience or an internship in an audit or consulting firm would be a plus.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Attijariwafa bank</strong> operates within a predominantly <strong>collaborative culture</strong>, placing people, trust, and teamwork at the heart of its organization. The bank <strong>promotes</strong> close and supportive management, fostering accountability, development, and strong professional relationships. This human-centered approach is <strong>balanced</strong> by a strong performance-driven mindset, emphasizing ambition, continuous improvement, and customer focus. It also <strong>embraces</strong> innovation, <strong>supported</strong> by structured processes that ensure reliability, efficiency, and operational excellence. </p><br><br> <br> Job : <p>Reporting to the Group Audit entity, you will be responsible for managing the functional administration of the audit tool, ensuring user management, the structuring of auditable objects, processes, risks, and reference data.</p><br><br><p>In this role, your main tasks will be:</p><br><br><ul><li>Administer user rights and profiles, structure and update business auditable objects, processes, risks, and reference data</li><li>Monitor the evolution of the internal tool in line with the needs of business teams</li><li>Support Audit teams by preparing data environments, participating in the collection, structuring, and documentation of sources, and assisting with processing and analysis</li><li>Ensure the follow-up of auditors' authorizations (monitoring requests within the framework of audit missions, tracking their updates and</li><li>deletions...).</li></ul> <br> Required profile : <p><strong>Profile sought:</strong></p><br><br><p>• You have a university degree or equivalent, with a specialization in IT.<br>• You have 1 to 5 years of confirmed experience in a similar position.<br>• You have the ability to find solutions for data collection and validation, you are innovative, autonomous, responsive, and you have interpersonal skills to promote the interests and concerns of your contacts.<br>&nbsp;</p><br><br> <br><br> </div>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Within the framework of current and large-scale projects, you manage the OPS side using a DevOps model. You operate on a platform hosted in the GCP cloud, the Azure cloud, and in data centers. Most applications are hosted on Windows operating systems, but there are also Linux servers.</font></font></p> <p> <strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Your main tasks are as follows:</font></font></strong> </p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Administering the platform Level N3</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Continuous integration on projects in production</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Involvement in infrastructure and application architecture.</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Implementation of automated platform tests.</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Monitoring and Supervision</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Creation of OPS documentation.</font></font></p> <h4><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h4> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (Bac+5) in engineering or equivalent university degree with a specialization in computer science. Desired experience of more than 5 years in Azure &amp; GCP technologies.</font></font></em> </p> <p> <strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required skills:</font></font></strong> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Windows Operating System Administration</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Linux operating system administration, primarily Red Hat/CentOS</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">High-traffic web server administration (Apache, Nginx, Varnis)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Sql/NoSql database administration (Mysql, PostgreSQL, OCI,</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Couchbase, Redis, Memcached, Elasticsearch, Cassandra, MongoDB)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of data flows (NiFi, SFTP,</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of scripting (Powershell, Shell etc.)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of Infrastructure Automation (Ansible, Terraform)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Practical Deployment Automation &amp; Orchestration (Jenkins, Rundeck, $U)</font></font></em> </p> <p> <strong> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Nice to have skills:</font></font></em> </strong> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Source Control (Git, Bitbucket, GitLab)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Dashboard tools (Grafana, Kibana)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Container Concepts (Docker)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Orchestration (Kubernetes)</font></font></em> </p> <p> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Cloud (Azure, Google Cloud)</font></font></em> </p> <p><br></p><p><strong>Desired Candidate Profile</strong></p><em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Diploma m (e) of a Bac+5 in engineering school or university equivalent with a specialization in computer science. Desired experience: 5+ years in Azure &amp; GCP technologies. </font></font></em> <strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required skills: </font></font></strong> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Windows operating system administration; </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Linux operating system administration, primarily Red Hat/CentOS; </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">High-traffic web server administration (Apache, Nginx, Varnis); </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">SQL/NoSQL database administration (MySQL, PostgreSQL, OCI, </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Couchbase, Redis, Memcached, Elasticsearch, Cassandra, MongoDB); </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of data flows (NiFi, SFTP); </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Scripting skills (PowerShell, Shell, etc.); </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Infrastructure Automation skills (Ansible, Terraform); </font></font></em> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Deployment Automation &amp; Orchestration experience (Jenkins, Rundeck, $U). </font></font></em> <font dir="auto" style="vertical-align: inherit;"><strong><em><font dir="auto" style="vertical-align: inherit;">Preferred skills:</font></em></strong><em><font dir="auto" style="vertical-align: inherit;"> Source Control (Git, Bitbucket, GitLab); </font></em><em><font dir="auto" style="vertical-align: inherit;">Dashboard tools (Grafana, Kibana); </font></em><em><font dir="auto" style="vertical-align: inherit;">Container concepts (Docker); </font></em><em><font dir="auto" style="vertical-align: inherit;">Orchestration (Kubernetes); </font></em><em><font dir="auto" style="vertical-align: inherit;">Cloud (Azure, Google Cloud). </font></em><strong><em><font dir="auto" style="vertical-align: inherit;"># Comp Personal qualities:</font></em></strong><em><font dir="auto" style="vertical-align: inherit;"> Strong sense of service and motivation for customer satisfaction; </font></em><em><font dir="auto" style="vertical-align: inherit;">ability to simplify technical subjects; </font></em><em><font dir="auto" style="vertical-align: inherit;">initiative and autonomy in actions, while also being able to work in a team.</font></em></font><strong> <em><font dir="auto" style="vertical-align: inherit;"></font></em> </strong> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <strong> <em><font dir="auto" style="vertical-align: inherit;"></font></em> </strong> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <em><font dir="auto" style="vertical-align: inherit;"></font></em> <em><font dir="auto" style="vertical-align: inherit;"></font></em>

<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"> <b>Position:</b>Sales Operations Associate<br><br><b>Job Description:</b><p><b>About US:</b>&nbsp;</p><br><br><p>Join our dynamic <b>Customer Operations</b> team at <b>Arrow</b>! Our team is built on a foundation of collaboration, trust, friendliness, and positivity. If you speak English and enjoy working with others, this might be the perfect opportunity for you!&nbsp;</p><br><br><p>As part of our company´s growth, <b>ARROW Morocco</b> is strengthening its teams and is looking for a <b>Sales Operation Associate,</b>&nbsp;</p><br><br><p><i>PLEASE ATTACH YOUR RESUME IN ENGLISH</i>&nbsp;</p><br><br><p>We have currently a team in Casablanca where the atmosphere is friendly, sociable and positive. If you speak English and you like to work with other people - this might be something for you!&nbsp;</p><br><br><p><b>What You’ll Be Doing at Arrow?</b>&nbsp;</p><br><br><p>As a Sales Operations Associate, your role will be diverse and essential to our operations. In this back-office role, you will support our customer-facing, Sales and Customer Service colleagues, allowing them to focus on selling and servicing our customers. Your responsibilities will include:&nbsp;</p><br><br><ul><li><p><b>Quotation Management:</b> Collaborate with Sales colleagues to construct and manage quotes for new customer bids, new buys, shortages, annual contracts, and specialized quoting activities.&nbsp;</p><br><br></li></ul><ul><li><p><b>Automation:</b> Ensure all systems and data are aligned to drive automation across selling and service processes.&nbsp;</p><br><br></li></ul><ul><li><p><b>Price Support:</b> Upload customer bills of material and request special price support where applicable. Maintain and update product-related data points that are often requested to supplement the pricing elements, such as stock status, lead-time, MOQ, item classification, and other specifications.&nbsp;</p><br><br></li></ul><ul><li><p><b>Order Processing support:</b> Ensure quoted prices are reflected in contract price fields and customer part numbers are clean for seamless order processing.&nbsp;</p><br><br></li></ul><ul><li><p><b>Issue Resolution:</b> Resolve data mismatches and order issues promptly and undertake corrective actions to prevent recurrence.&nbsp;</p><br><br></li></ul><ul><li><p><b>Post-Invoice Adjustments:</b> Handle post-invoice adjustments both internally and externally when necessary.&nbsp;</p><br><br></li></ul><ul><li><p><b>Backlog Management:</b> Review quote related alerts and holds in the Oracle ERP system and make necessary corrections to ensure smooth processing.&nbsp;</p><br><br></li></ul><ul><li><p><b>Team Collaboration:</b> Enable customer-facing colleagues to build deep customer relationships and provide exceptional service by managing quotes and resolving queries efficiently, allowing them to focus on creating real value for our customers.&nbsp;</p><br><br></li></ul><p><b>Who are we looking for?</b>&nbsp;</p><br><br><ul><li><p><b>English on min B2 </b>level (both spoken and written), additional language is an asset.&nbsp;</p><br><br></li></ul><ul><li><p>Good knowledge of MS Office, Excel is a plus&nbsp;</p><br><br></li></ul><ul><li><p><b>Customer Service</b>, <b>Order Management </b>or <b>Sales experience&nbsp;</b>&nbsp;</p><br><br></li></ul><ul><li><p>Accountability&nbsp;</p><br><br></li></ul><ul><li><p><b>Communication and coordination</b> skills&nbsp;</p><br><br></li></ul><ul><li><p><b>Customer-oriented </b>attitude&nbsp;</p><br><br></li></ul><ul><li><p><b>Team player</b>&nbsp;</p><br><br></li></ul><p><b>What is in it for you?</b>&nbsp;</p><br><br><ul><li><p>Full Permanent contract,&nbsp;</p><br><br></li></ul><ul><li><p>Social advantages: CNSS, CIMR, Health insurance,&nbsp;</p><br><br></li></ul><ul><li><p>Very good working atmosphere in a team of passionate collaborators,&nbsp;</p><br><br></li></ul><ul><li><p>Work culture where you can make an impact,&nbsp;</p><br><br></li></ul><ul><li><p>Dynamic environment with a <b>friendly work atmosphere,</b>&nbsp;</p><br><br></li></ul><ul><li><p>Interesting career developmentopportunities in a quickly growing environment,&nbsp;</p><br><br></li></ul><ul><li><p>Working within an international organization, recognized worldwide in its sector.&nbsp;</p><br><br></li></ul><p><b>Do you see yourself as our future colleague? If yes – send us your application.</b>&nbsp;</p><br><br><p><b>Our story</b>&nbsp;</p><br><br><p>As <b>Arrow Global Components (AGC)</b>, a part of Arrow Electronics, we are a leader in distribution and value-added services related to electronic components. We resell, customize, and distribute electronic components to our clients all over the world. Our business is based on a trusted, long-lasting network of relationships with industry leaders, both on the supplier and customer sides.&nbsp;</p><br><br><p><i>Arrow is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status.</i>&nbsp;</p><br><br><p><span>#LI-HL1</span></p><br><br><br><br><b>Location:</b>MA-Casablanca, Morocco (Boulevard Al Quods)<br><br><b>Time Type:</b>Full time<br><b>Job Category:</b>Business Support<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p>LEONI is a global provider of products, solutions, and services for energy and data management in the automotive industry. With around 87,000 employees in 21 countries and EUR 5 billion in sales in 2024, we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</p><br><p>We believe that meaningful connections drive innovation and success. At LEONI, you will join a diverse, international, and collaborative team shaping the future of mobility, from autonomous driving to alternative drives and smart charging solutions.</p><br><p>Since mid‑2025, we have been part of the Luxshare Group, one of the world’s leading solution providers for consumer electronics, communications and data centers, automotive, and medical industries, based in China. Join us and help shape the future of connectivity together.</p><br><br><br>Job Description<ul><li>Support leaders in designing the employee strategy for their respective area of responsibility</li><li>Act as HR Business Partner to assigned area of responsibility in HR related matters:</li><li>Coordinate HR related topics (crisis situations – e.g. economic, social, etc.) by request of respective leader</li><li>Act as an interface during escalations</li><li>Organize the relevant information for ASI, personnel planning (FTE, personnel costs), KPIs</li></ul><br><br>Qualifications and Experience<ul><li>Master degree in Human Ressources.</li><li>HR Industry Knowledge/&nbsp;Talent Management/&nbsp;Learning &amp; Development/&nbsp;Organizational Change and Culture Management</li></ul><br><br>Interested?Apply nowAll jobs<br><p>People of all genders are always meant equally; for linguistic simplification and better readability, only the masculine form is used in the text.<br>LEONI processes your application data in an IT-system that is consistent across the company and uses Foreign Service providers. By sending your application, you agree to this procedure. LEONI ensures the compliance with data protection.</p><br><br> </div>

<p>Your mission will be to contribute to and facilitate the development and deployment of Data Science, Data Analysis, Data Visualization, and AI projects. Your role will be transversal, intervening throughout the entire lifecycle of the solutions: from data exploration to production deployment and their evolutive maintenance. On a daily basis, you will be responsible for:</p><p>Designing and improving CI/CD processes</p><p>Deploying and industrializing applications in the GCP Cloud</p><p>Automating infrastructures with Infrastructure as Code</p><p>Containerizing and orchestrating services with Kubernetes / GKE</p><p>Administering and maintaining shared Data services, particularly Airflow and Langfuse</p><p>Supporting Data teams in their deployments and configurations</p><p>Participating in access management, incident resolution, and Cloud cost optimization</p><p>Ensuring the application of security and governance best practices</p><p>Identifying opportunities for automation and continuous improvement</p><p>Technical Environment</p><p>Must Have:</p><p>GCP / Cloud</p><p>Kubernetes</p><p>Infrastructure as Code, ideally Terraform</p><p>CI/CD &amp; DevOps practices</p><p>Containerization</p><p>Good understanding of network and infrastructure issues</p><p>If you also master:</p><p>GKE, Cloud Storage, Cloud SQL, Cloud Monitoring</p><p>Apache Kafka</p><p>Airflow</p><p>Bash / Python</p><p>This would be a real plus!</p><p><strong>Desired Candidate Profile</strong></p><p>You are a Senior DataOps Engineer, autonomous and comfortable in complex technical environments. You are recognized for your ability to:</p><ul><li>Solve complex technical problems</li><li>Work autonomously and manage your priorities</li><li>Collaborate effectively with diverse technical teams</li><li>Communicate clearly both in writing and orally</li><li>Adopt a true DevOps &amp; Agile culture</li><li>Contribute to a continuous improvement approach</li></ul>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: 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 enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Master's degree (Bac+5) in Engineering with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics. Experience: 3-5 years of proven experience on similar predictive modeling and recommendation systems projects. Technical Skills: Mastery of Machine Learning: Classic 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. Methodology: Agile working methodologies (Scrum of Scrums, weekly progress meetings). Collaboration: Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Subject Matter Experts).</font></font></p>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: 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 enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills</font></font></h2><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AI frameworks: Proficiency in Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow or PyTorch).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Big Data &amp; Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ops &amp; CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">technological environment: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</font></font></li></ul>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: 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 enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills: Mastery of Machine Learning: Classic 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.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</font></font></p>

<p>Data engineers collect, transform and store data using pipelines and storage systems. This involves extracting data from various data source systems, transforming it into the staging area, and loading it into database, data warehouse or data lake systems. The Data Engineer ensures quantitative and qualitative access to data sources. He/she ensures availability of data and guarantees the quality of its use in-order-to facilitate its exploitation by Data analysts and Data scientists. His/her scope of intervention is focused on application systems around data management and processing and on Big Data, IoT platforms.</p><p><strong>Desired Candidate Profile</strong></p><p>Engineer / Master Big Data or similar He/she uses analytic applications, techniques, and statistical methods to organize, synthesize and translate data efficiently. He/she produces statistical studies, carries out analyses on any kind of available data sources in order to produce value. Drives analysis to solve a problem and/or satisfy a business need.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Robert Bosch Maroc est une entreprise en pleine croissance du groupe Bosch, située à Casablanca, au Maroc. Avec environ deux cents collaborateurs, nous opérons dans les divisions d’activité Automotive Aftermarket, Power Tools et Thermo Technology.</p><br><p>Chez Bosch, nous façonnons l’avenir en inventant des technologies et des services de haute qualité qui suscitent l’enthousiasme et enrichissent la vie des gens. Notre promesse envers nos collaborateurs est solide : nous évoluons ensemble, nous prenons plaisir à notre travail et nous nous inspirons mutuellement.</p><br><p>Rejoignez-nous et faites la différence.</p><br><br>Job Description<br><p>Missions principales</p><br><ul><li>Participer à la réorganisation, la traduction et la création de modules de formation technique destinés aux ateliers et aux équipes après-vente.</li><li>Contribuer à la mise à jour et à la structuration de la documentation technique.</li><li>Participer à la filtration, l’analyse et la structuration des données à l’aide d’outils digitaux et de fichiers Excel.</li><li>Assurer le suivi et l’exploitation des données provenant des plateformes digitales utilisées en après-vente.</li><li>Diagnostiquer et analyser les pannes véhicules, en particulier celles liées aux systèmes électroniques et embarqués.</li><li>Contribuer à l’amélioration continue des processus de diagnostic et de réparation.</li><li>Participer à la création de supports pédagogiques et techniques pour les formations.</li></ul><br>Qualifications<br><ul><li>Très bon niveau sur Microsoft Office (Excel, PowerPoint, Word).</li><li>Bonne maîtrise de l’analyse et du traitement de données sur Excel (tri, filtrage, tableaux, etc.).</li><li>Bonne connaissance du fonctionnement des systèmes embarqués automobiles.</li><li>Bonne connaissance du fonctionnement des systèmes des véhicules hybrides et électriques.</li><li>Capacité à diagnostiquer et analyser des pannes véhicules.</li><li>Bonne compréhension de l’architecture électronique et électrique automobile.</li><li>Maîtrise des outils et plateformes digitales utilisés dans l’après-vente automobile.</li><li>Bon esprit d’analyse et résolution de problèmes techniques.</li></ul><ul><li>Compréhension des systèmes de diagnostic automobile et des outils de test.</li><li>Capacité à interagir avec les techniciens et les ateliers du réseau.</li><li>Sens de l’organisation et gestion de la documentation technique.</li><li>Bon niveau de communication technique.</li><li>Bon niveau en français et en anglais (écrit et oral).</li><li>Formation en diagnostic automobile, électricité automobile ou ingénierie automobile</li></ul><br>Additional Information<br><p>Contrat ANAPEC d’une durée de 24 mois.</p><br><br><br> </div>