Data Entry Jobs in Morocco
1428 Jobs Found
toto
Morocco - Boulemane
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Senior Data Engineer, you will be responsible for designing, coding, testing, and deploying data ingestion, processing, modeling, and valorization pipelines, so that this data can be restored and visualized through web applications, using modern technologies. Your main missions: Work on Data and Cloud environments, particularly GCP. Exploit BigQuery and advanced SQL on large volumes of data. Appropriation of new LLM technologies in its development routine Manage real-time flows with Pub/Sub. Automate data workflows via GitLab CI/CD and Docker Compose. Version code with Git. Collaborate in an agile environment (Scrum). Data modeling and preparation: design optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses. Meet deadlines while maintaining high standards of quality and excellence Communicate clearly and effectively in writing and orally in French for fluid interactions with the business and teams Analyze situations and propose appropriate solutions while identifying areas for improvement Actively collaborate with team members, share knowledge and foster a collective spirit to achieve common goals Apply a continuous improvement mindset to optimize practices and results</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>For this position, you will need: Master DBT for data transformation and orchestration. Significant experience in data modeling and semantic layer implementation with Looker/LookML. Have notions of machine learning and Agentic. Experience with the Google suite.</p><p></p></section>
toto
Morocco - Casablanca
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p> <br> <b>Responsibilities</b> </p> <ul> <li> <p> <b>Assist in wrangling data using Salesforce, SQL, Snowflake, and Tableau</b> to discover patterns, correlate findings, and measure the impact on the business and key metrics</p> </li> <li> <p> <b>Create interactive</b> and intuitive <b>visualisations using Tableau</b> </p> </li> <li> <p>Develop a deep understanding of enterprise data and operational details of the business (e.g. f<b>orecasting, pipeline, bookings,</b> data quality)</p> </li> <li> <p>Automate manual reporting processes and improve data quality</p> </li> <li> <p> <b>Troubleshoot data issues</b>/inconsistencies and bugs, and recommend/make enhancements to existing dashboards/reports</p> </li> <li> <p>Partner with and <b>consult Professional Services sellers and sales leadership</b> to provide accurate data/information and make recommendations for how to run the business</p> </li> </ul> <p> <br> <b>Required Qualifications:</b> </p> <ul> <li> <p>English fluency</p> </li> <li> <p>2+ years of experience in business intelligence, analytics/reporting, data analysis</p> </li> <li> <p> <b>Hands-on experience with Data Modelling, Relational Databases, SQL, Tableau</b>, and <b>Google Sheets/Excel, Python</b> </p> </li> <li> <p>Know how to <b>extract, manipulate and transform data</b> </p> </li> <li> <p>Able to translate complex technical results into clear, actionable insights</p> </li> <li> <p> <b>Cross-functional collaboration </b>with teams and personas such as <b>sellers, sales leaders</b>, commercial officers, <b>sales enablement</b>, <b>produc</b>t, data engineering</p> </li> <li> <p>Ability to quickly grasp technological and business concepts</p> </li> <li> <p> <b>Problem Solving: </b>Proven ability to identify issues and develop creative solutions.</p> </li> <li> <p> <b>Adaptability:</b> Comfortable working both independently and as part of a collaborative team</p> </li> <li> <p> <b>Multi-tasking: </b>Skilled at managing multiple priorities and tasks simultaneously</p> </li> <li> <p> <b>Resilience: </b>Ability to maintain high performance in a fast-paced, high-pressure environment</p> </li> </ul> <p> <br> <b>Preferred Qualifications:</b> </p> <ul> <li> <p>Additional technologies: <b>Gemini, Claude, NotebookLM, Github, APIs, Sagemaker, Snowflake, Cloud Computing</b> </p> </li> <li> <p>Taking part in<b> AI/ML initiatives</b> </p> </li> <li> <p>Knowledge of Salesforce products, platform features, and capabilities</p> </li> <li> <p> <b>Sales/GTM knowledge</b> </p> </li> <li> <p>Background in professional services or SaaS industry</p> </li> <li> <p>Bachelor s degree (or equivalent) in related field</p> </li> <li> <p><br></p></li></ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p></div></section>
toto
Morocco - Boulemane
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Your responsibilities will include: Data analysis. Production of indicators and dashboards. Gathering business requirements. Data quality control. Conducting studies and preparing reports. Presenting results to stakeholders.</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" >Master's degree (Bac+5) in Computer Science. Experience: 4 years of experience in Data Analysis. Required skills: SQL, Power BI, Tableau, Excel, Data Visualization.</font></font></p><p></p></section>
toto
Morocco
<h2 class="h5">Job description</h2>
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<strong>Contexte</strong><p>Exploiter les données de l’entreprise pour améliorer la connaissance client, détecter des anomalies (fraude), optimiser la tarification ou automatiser des processus décisionnels.</p><br><strong>Missions</strong><ul><li>Collecter, nettoyer et préparer les données (SQL, scripts)</li><li>Réaliser des analyses exploratoires et des tableaux de bord</li><li>Concevoir et entraîner des modèles prédictifs ou de segmentation</li><li>Présenter les résultats aux métiers et proposer des actions</li><li>Collaborer avec les équipes Data Engineering et BI</li></ul><strong>Profil recherché</strong><ul><li>Bac+5 en data science, statistiques ou informatique</li><li>4 ans minimum d’expérience, avec un projet significatif dans l’assurance</li><li>Maîtrise des langages de programmation data (Python ou R)</li><li>Expérience en visualisation (outils BI) et en bases de données relationnelles</li></ul><strong>Compétences clés</strong><ul><li>Nettoyage et transformation de données</li><li>Modélisation statistique et machine learning</li><li>Communication et restitution auprès des métiers</li><li>Anglais professionnel</li></ul>
<br> </div>
toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Company culture : <p>
<strong>Cnexia Tech</strong> is driven by a culture strongly focused on <strong>performance and competitiveness</strong>, where ambition, challenge and measurable results are key drivers of success. This dynamic is complemented by a <strong>collaborative dimension</strong>, promoting trust, teamwork and close managerial support. It also integrates an <strong>innovation component</strong> that encourages initiative, adaptability and experimentation in a fast-evolving technological environment. Finally, a structured <strong>organizational culture</strong> underpins the whole by ensuring process rigor, reliability and operational efficiency. </p><br><br>
<br> Job : Looking for a Data Scientist to analyze large datasets, build machine learning models (including time series forecasting), and generate actionable insights while ensuring data quality and integrity. The role requires 1-2 years of experience, strong skills in Python (pandas, numpy), SQL, and machine learning, with the ability to communicate findings clearly and collaborate in an Agile environment. <br> <br> Required profile : <p><strong>Requirements/Accountabilities:</strong></p><br><br><ul><li>Data mining or extracting usable data from valuable data sources.</li><li>Using machine learning tools to select features, create and optimize classifiers.</li><li>Processing, cleansing, and validating the integrity of data to be used for analysis.</li><li>Analyzing large amounts of information to find patterns and solutions.</li><li>Develop timeseries forecasting models using machine learning algorithm.</li><li>Developing prediction systems and machine learning algorithms.</li><li>Building a strong partnerships with sponsors, clients and vendors to validate business flows.</li><li>Apprising the product owners on delivery status, identify associated delivery risks, dependencies along with detailing and quantifying impacts.</li><li>Doing investigations related to business flow anomalies.</li><li>Providing a key interface to the IT team to communicate data patterns possessing.</li><li>Develop presentations that clearly explain both the data science process and the results to technical and non-technical audiences of project managers, clients, sponsors and vendors.</li><li>Ability to communicate and document findings in a structured manner<br> </li></ul><p><strong>Competency Requirements :</strong></p><br><br><ul><li>Masters degree in software / computer engineering (Bac+5) or Equivalent experience (asset)</li><li>Bilingualism is an asset (English / French).</li><li>1-2 years work experience in data science (analysis, data mining, time series analysis, machine learning, projections and estimates, business intelligence).</li><li>Advanced skills in Microsoft excels include designing spread sheet models, implementing macros and connecting with external data sources.</li><li>Database query using SQL, Experience in SAS Enterprise Guide is a plus.</li><li>Experience in solution development using at least one of the following programming languages: SAS and / OR Python.</li><li>Knowledge of leading Machine Learning libraries such as PyTorch and TensorFlow (or ability to build Machine Learning models) is a plus.</li><li>Knowledge of pandas, scipy, numpy for data analysis, model building and forecasting in python.</li><li>Ability to work efficiently within a development team in an Agile organization.</li><li>Ability to efficiently work in virtual teams during conventional (EST) business hours using conference calls and online conferencing utilities (e.g. WebEx, BETC).</li></ul> <br><br> </div>
toto
Morocco - Boulemane
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" > Design, develop and maintain large-scale data processing solutions</font></font></p> <p><font dir="auto" ><font dir="auto" > Participate in the implementation of business projects related to ELT solutions</font></font></p> <p><font dir="auto" ><font dir="auto" > Developing and optimizing high-performance Big Data processing</font></font></p> <p><font dir="auto" ><font dir="auto" > Participate in the testing, acceptance and validation phases</font></font></p> <p><font dir="auto" ><font dir="auto" > Maintain and evolve data assets</font></font></p> <p><font dir="auto" ><font dir="auto" > Collaborating closely with the development and production teams</font></font></p> <p><font dir="auto" ><font dir="auto" > Actively contribute to the continuous improvement of the platforms</font></font></p> <p> </p> <p><font dir="auto" ><font dir="auto" >Technical stack and environment:</font></font></p> <p><font dir="auto" ><font dir="auto" >Java / Scala</font></font></p> <p>Apache Spark</p> <p><font dir="auto" ><font dir="auto" >Apache Kafka</font></font></p> <p>Google Cloud Platform (GCP)</p> <p>BigQuery / BigTable</p> <p>SQL avanc </p> <p>DBT</p> <p>Pub/Sub</p> <p><font dir="auto" ><font dir="auto" >GitLab CI/CD</font></font></p> <p>Docker Compose</p> <p>Linux / Git</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" > Search profile:</font></font></p> <p><font dir="auto" ><font dir="auto" > Master's degree (Bac+5) in computer science or equivalent</font></font></p> <p><font dir="auto" ><font dir="auto" > Between 3 and 7 years of experience in Java/Scala Data Engineering</font></font></p> <p><font dir="auto" ><font dir="auto" > Solid experience in Data and Cloud architectures</font></font></p> <p><font dir="auto" ><font dir="auto" > Excellent command of BigQuery and processing of large volumes</font></font></p> <p><font dir="auto" ><font dir="auto" > Knowledge of real-time environments and data streaming</font></font></p> <p> Exp rience des m thodologies Agile / Scrum</p> <p> </p> <p><font dir="auto" ><font dir="auto" >The best features:</font></font></p> <p><font dir="auto" ><font dir="auto" >An appetite for using AI in the service of development</font></font></p> <p><font dir="auto" ><font dir="auto" >curiosity, autonomy and a collaborative spirit.</font></font></p><p></p></section>
toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Company culture : <p>
<strong>M-automotiv</strong> relies on a <strong>cooperation-driven culture</strong>, where trust, teamwork and employee well-being shape everyday work practices. The company promotes a close management approach focused on guidance, empowerment and strong human relationships. This collaborative foundation is supported by a <strong>strong competitive mindset</strong>, emphasizing performance and results. Innovation and organizational aspects, while more moderate, contribute to agility, structure and operational efficiency. </p><br><br>
<br> Job : <p>
<u><strong>Missions and tasks:</strong></u>
</p><br><br>
<p>
<br> - Administration and configuration of the CRM platform<br> - Qualification and segmentation of customer databases<br> - Monitoring data quality and consistency<br> - Automation of follow-up flows and workflows<br> - Building and updating KP dashboards<br> - Analysis of customer behavior and life cycles<br> - Monitoring CRM campaign performance<br> - Production of regular reports for management<br> - Data collection, cleaning, and structuring<br> - Populating and maintaining data pipelines<br> - Participation in projects for integrating third-party sources<br> - Staying updated on data best practices (GDPR, governance)<br> - Writing user guides and support materials<br> - Local support for sales teams<br> - Participation in the onboarding of new employees<br> </p><br><br> <br> Required profile : <p>
<u><strong>Education:</strong></u>
</p><br><br>
<ul>
<li> Bachelor's degree (Bac+3) in computer science, Big Data, Data Analysis, or equivalent (Licence, Licence Pro, DUT..). A specialization in CRM/Business Intelligence is a plus.</li>
</ul>
<p>
<u><strong>Experience:</strong></u>
</p><br><br>
<ul>
<li> Junior profile with 1 to 2 years of experience (internship or significant apprenticeship accepted). Initial exposure to a CRM tool in a professional context is appreciated.</li>
</ul> <br><br> </div>
toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<b>Position:</b>Master Data Management Technical Analyst<br><br><b>Job Description:</b><p><b>Arrow Enterprise Computing Solutions</b> (ECS), a part of Arrow Electronics, brings innovative IT solutions to market to solve complex business challenges. We deliver value-added distribution, business consulting and channel enablement services to leading technology manufacturers and their channel partners. We help businesses grow faster, operate efficiently, and transform in a dynamic market (more information through this link : https://www.arrow.com/globalecs/).</p><br><br><br><p><b>About Us</b></p><br><br><p>Arrow Enterprise Computing Solutions (ECS), part of Arrow Electronics, is a leading global provider of IT solutions that help businesses grow faster, operate efficiently, and transform in today’s dynamic market. We partner with industry leaders like Microsoft and AWS to deliver innovative cloud solutions, supporting customers across EMEA and North America. Our mission is to empower organizations with the tools, programs, and expertise they need to succeed in the cloud-first world.</p><br><br><br><p><b>Summary</b></p><br><br><p>Arrow is seeking a<b>Technical MDM Analyst</b> to support the implementation and maintenance of its MDM platform, ensuring data accuracy, structure, and system efficiency.</p><br><br><br><p><b>Key Responsibilities</b></p><br><br><ul><li><p>Maintain and manage data within<b>Informatica MDM</b></p><br><br></li><li><p>Perform data quality checks and resolve inconsistencies</p><br><br></li><li><p>Investigate missing or incorrect data fields and implement fixes</p><br><br></li><li><p>Configure and support data rules (e.g., mandatory tax/VAT fields)</p><br><br></li><li><p>Collaborate with IT and business teams on data issues and enhancements</p><br><br></li><li><p>Support reporting, monitoring, and dashboarding of data quality</p><br><br></li></ul><br><p><b>Profile</b></p><br><br><ul><li><p>1–3 years in<b>MDM, data management, or data analysis</b></p><br><br></li><li><p>Hands-on experience with<b>Informatica MDM (mandatory)</b></p><br><br></li><li><p>Strong analytical and problem-solving skills</p><br><br></li><li><p>Ability to work in a hybrid role (data + coordination)</p><br><br></li><li><p>Comfortable in a global, cross-functional environment</p><br><br></li></ul><br><p><b>What’s In It for You</b></p><br><br><ul><li><p>A <b>full-time permanent role</b> within a globally recognized IT leader.</p><br><br></li><li><p>A <b>dynamic international environment</b>, collaborating with teams all around the world.</p><br><br></li><li><p>Opportunities for <b>career growth and professional development</b> in cloud and project management.</p><br><br></li><li><p>A culture that values <b>innovation, collaboration, and continuous improvement</b>.</p><br><br></li><li><p>Full Permanent contract,</p><br><br></li><li><p>Social advantages: CNSS, CIMR, Health insurance.</p><br><br></li></ul><p>#LI-JC1</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>
toto
Morocco - Boulemane
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong><font dir="auto" ><font dir="auto" >Context :</font></font></strong></p> <p><font dir="auto" ><font dir="auto" >As part of strengthening the DATA&AI development team, we are looking for a consultant for our client to participate in the design, development and industrialization of Data, BI and Artificial Intelligence solutions, in order to enhance the value of the company's data and support its digital transformation.</font></font></p> <ul> <li><strong><font dir="auto" ><font dir="auto" >Duration:</font></font></strong><font dir="auto" ><font dir="auto" > 110 JH renewable</font></font></li> <li><strong><font dir="auto" ><font dir="auto" >Start date:</font></font></strong><font dir="auto" ><font dir="auto" > ASAP</font></font></li> <li><strong><font dir="auto" ><font dir="auto" >Location:</font></font></strong><font dir="auto" ><font dir="auto" > Casablanca, Morocco</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Main tasks:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Managing the data lifecycle: extraction, transformation, loading and valorization via pipelines and dashboards</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop and maintain ETL flows (Talend Open Studio, Python) and orchestrate workflows with Apache Airflow</font></font></li> <li><font dir="auto" ><font dir="auto" >Design and deploy interactive dashboards with Qlik Sense</font></font></li> <li><font dir="auto" ><font dir="auto" >Use Python to automate processes and perform advanced analyses</font></font></li> <li><font dir="auto" ><font dir="auto" >Designing, training and optimizing AI models (Machine Learning, Deep Learning, NLP, Computer Vision)</font></font></li> <li><font dir="auto" ><font dir="auto" >Industrializing AI solutions (technical foundation, integration into existing applications)</font></font></li> <li><font dir="auto" ><font dir="auto" >Define and implement robust and scalable AI architectures (APIs, microservices, MLOps)</font></font></li> <li><font dir="auto" ><font dir="auto" >Clean, transform and ensure the quality of datasets for model training</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with third-party teams, Data and Dev to ensure production deployment</font></font></li> <li><font dir="auto" ><font dir="auto" >To ensure technological monitoring in order to enrich the technical foundation</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Additional activities:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Attend the technical and functional scoping workshops</font></font></li> <li><font dir="auto" ><font dir="auto" >Communicating with project stakeholders</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Required technical skills:</font></font></strong></p> <ul> <li>ETL : Talend Open Studio, Python, Apache Airflow</li> <li><font dir="auto" ><font dir="auto" >BI : Click Sense</font></font></li> <li><font dir="auto" ><font dir="auto" >Python: automation, analysis, AI development (Pandas, NumPy)</font></font></li> <li>Frameworks IA : TensorFlow, PyTorch, Scikit-learn</li> <li><font dir="auto" ><font dir="auto" >AI Industrialization: Technical Foundation, Integration, MLOps</font></font></li> <li><font dir="auto" ><font dir="auto" >Data Governance and Quality</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to transform business needs into high-performance Data & AI solutions</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Behavioral skills:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Collaborative work with developers and technical teams</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong commitment and availability</font></font></li> </ul></div></section>
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Company culture : <p><strong>BTechnologie</strong> is characterized by a corporate culture primarily driven by <strong>organization</strong>, where rigor, reliability and operational efficiency are key drivers of performance. This structured environment is strengthened by a strong <strong>collaborative</strong> dimension, promoting team spirit, quality relationships and supportive leadership. The company also embraces a culture of <strong>performance and challenge</strong>, with a clear focus on results and excellence. Complementing these strengths, an <strong>innovative</strong> mindset brings openness to change and continuous improvement.
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<br> Job : <p>Within the Fixed Access Engineering Studies team of the Technical Directorate, the Data Analyst will work on topics related to network coverage, data analysis, and supporting business teams in mastering network offers for final customers.</p><br><br><p><em><strong>The main tasks will be:</strong></em></p><br><br><ul><li>Set up and maintain enterprise repositories</li><li>Perform network coverage and eligibility analyses</li><li>Match addresses to cross-reference network data and customer data</li><li>Study new FTTH / FTTO deployment areas</li><li>Produce coverage maps and geographic analyses</li><li>Monitor competition regarding networks and market offers</li><li>Process and analyze large volumes of technical and geographic data</li></ul> <br> <br> Required profile : <p>We are looking for an analytical, autonomous, and data-oriented profile, capable of working on technical issues related to fixed networks and geographic data.</p><br><br><p><em><strong>The ideal candidate has:</strong></em></p><br><br><ul><li>Very good command of SQL</li><li>Good skills in Python and data analysis</li><li>Knowledge of PostgreSQL, PostGIS, and QGIS environments</li><li>Experience in geographic processing and GIS</li><li>Ability to design and model solutions for processing large-volume data</li><li>Good understanding of fixed network architectures (FTTH, FTTO, DSL)</li></ul><p><strong><em>On a behavioral level, we are looking for someone who is:</em></strong></p><br><br><ul><li>Has excellent communication skills</li><li>Has a strong analytical and synthesis mindset</li><li>Autonomous and rigorous</li><li>Able to work effectively in a team and interact with various business and technical stakeholders.</li></ul> <br><br> </div>
toto
Morocco - Casablanca
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Contexte :</strong></p><br><p>Nous recherchons un Expert Data & IA pour accompagner notre clients dans le déploiement de solutions d’intelligence artificielle à grande échelle, avec une forte exigence de gouvernance, de MLOps et d’intégration système.</p><br><ul><li><strong>Localisation :</strong> Casablanca, Maroc</li><li><strong>Type de contrat :</strong> Freelance</li><li><strong>Démarrage :</strong> ASAP</li></ul><p><strong>Missions principales :</strong></p><br><ul><li>Concevoir et architecturer des assistants IA (LLM souverains, RAG, agents conversationnels)</li><li>Déployer des pipelines MLOps complets (monitoring des dérives, détection de biais, déploiements progressifs A/B, shadow, canary)</li><li>Assurer l’intégration des modèles dans les systèmes d’information existants (API, microservices, cloud hybride)</li><li>Mettre en place des stratégies de réduction des risques (guardrails, retraining policies, differential privacy)</li><li>Optimiser les coûts et les performances des infrastructures data (ELT, data quality, versioning)</li><li>Accompagner les équipes internes dans l’adoption et le passage à l’échelle des solutions IA</li></ul><p><strong>Profil recherché :</strong></p><br><ul><li>Master en Computer Science ou équivalent</li><li>Expérience significative en tant que Lead AI Architect ou Tech Lead</li><li>Maîtrise des technologies LLM, RAG, Agentic AI, Predictive AI</li><li>Expertise en MLOps (MLflow, monitoring de dérive, déploiements progressifs, CI/CD)</li><li>Compétences data engineering (pipelines ELT, Big Data, qualité/versioning, pseudonymisation)</li><li>Connaissance des enjeux d’éthique, de conformité et de sécurité en IA</li></ul><p><strong>Technologies & méthodes :</strong></p><br><ul><li>LLM / RAG / fine‑tuning</li><li>Prompt monitoring, drift detection</li><li>A/B testing, shadow deployment, canary deployment</li><li>Pipelines CI/CD, MLflow, Kubernetes</li><li>Python, SQL</li><li>Cloud (AWS, Azure, GCP)</li></ul>
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toto
Morocco - Boulemane
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>Job Requirements</b></p>
<p><font dir="auto" ><font dir="auto" >You have a degree from an engineering school or university training with a specialization in Data Science or Artificial Intelligence, and you have prior experience of at least two years in the same position.</font></font></p>
<p><b>Responsibilities:</b></p>
<ul>
<li><font dir="auto" ><font dir="auto" >Extract the data necessary for the analysis</font></font></li>
<li><font dir="auto" ><font dir="auto" >Define rules for managing database cleanup,</font></font></li>
<li><font dir="auto" ><font dir="auto" >To develop and implement advanced algorithm models based on AI (e.g., machine learning and deep learning),</font></font></li>
<li><font dir="auto" ><font dir="auto" >Analyze and interpret data.</font></font></li>
<li><font dir="auto" ><font dir="auto" >Collaborating with technical and business teams to identify the best solutions.</font></font></li>
<li><font dir="auto" ><font dir="auto" >Ensure the performance and continuous improvement of models in production.</font></font></li>
</ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >You have a degree from an engineering school or university training with a specialization in Data Science or Artificial Intelligence, and you have prior experience of at least two years in the same position.</font></font></p><p></p></section>
toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br> Company culture : <p><strong>CAC (Centrale Automobile Chérifienne)</strong> is characterized by a strong <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its organization. A close management approach supports guidance, empowerment and long-term working relationships within committed teams. This dynamic is complemented by a <strong>competitive dimension</strong>, focused on performance, ambition and customer satisfaction. It is also supported by a structured <strong>organizational culture</strong>, ensuring rigor, efficiency and process reliability, while a more moderate <strong>innovative component</strong> fosters adaptability and continuous improvement.
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<br> Job : <ul><li>You will use the company's data to design predictive models and integrate Artificial Intelligence solutions into our business processes.</li><li>You will also participate in the intelligent automation of our internal processes by integrating AI technologies to strengthen their digitalization and efficiency.</li><li>In this role, you will develop predictive models for predictive maintenance, inventory optimization, and customer segmentation and scoring, thus contributing to enriching the 360° customer view.</li><li>Finally, you will ensure active technological monitoring to identify and explore new uses of Artificial Intelligence applicable to our business sector.</li></ul> <br> <br> Required profile : <p><strong>Technical Skills:</strong></p><br><br><ul><li>Proficiency in Python, ML/DL, API, Azure cloud (Data Factory/Fabric preferred),</li><li>Knowledge of OpenAI GPTs, OLLAMA, Claude, Gemini.</li><li>Basic understanding of MLOps (CI/CD, monitoring, containerization).</li><li>Good foundation in SQL and understanding of Data architecture.</li><li>Good understanding of DWH/Datalake (architecture, modeling, business sources).</li><li>Experience in data environments such as Azure, Databricks, & popularization...</li><li>Proficiency in programming languages (Python, R, SQL) and Machine Learning libraries</li></ul><p><strong>Profile sought:</strong></p><br><br><ul><li>Master's degree (Bac+5) in AI, Data Science, Software Engineering, Computer Science.</li><li>2-5 years of experience in Data/AI</li><li>Ability to solve complex problems with a pragmatic approach.</li><li>Focus on business value and user experience.</li><li>Strong analytical skills, Rigor, autonomy.<br> </li></ul> <br><br> </div>
toto
Morocco - Casablanca
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Contexte :</strong></p><br><p>Dans le cadre du renforcement de son département digital, notre client recherche un Business Analyst confirmé pour accompagner les projets de digitalisation, data et intelligence artificielle, avec une forte exposition au métier de l’assurance Vie.</p><br><ul><li><strong>Type de mission :</strong> Freelance</li><li><strong>Durée :</strong> 100 JH renouvelables</li><li><strong>Démarrage :</strong> ASAP</li><li><strong>Localisation :</strong> Casablanca, Maroc</li></ul><p><strong>Missions principales :</strong></p><br><ul><li>Recueillir, formaliser et prioriser les besoins métiers (digital, data, IA)</li><li>Animer les ateliers de cadrage et rédiger les spécifications fonctionnelles</li><li>Contribuer à la qualité, la gouvernance et la valorisation des données (data management)</li><li>Accompagner le changement : former et sensibiliser les utilisateurs aux nouveaux outils</li><li>Assurer la coordination et la planification entre équipes métier, IT et prestataires</li><li>Anticiper les risques et proposer des solutions proactives</li><li>Produire des rapports clairs et concis pour les parties prenantes</li><li>Assurer une veille technologique sur les évolutions du marché et les technologies émergentes</li></ul><p><strong>Profil recherché :</strong></p><br><ul><li>Bac+5 (école d’ingénieur, école de commerce ou université)</li><li>4 ans d’expérience en gestion de projet et analyse besoins (digital, data, IA, transformation)</li><li>Connaissance du métier de l’assurance (obligatoire) et plus précisément de l’assurance Vie</li><li>Maîtrise des méthodologies de gestion de projet (PMP, PRINCE2, Agile)</li><li>Capacité à s’adapter à un environnement en constante évolution</li><li>Rigueur, autonomie, esprit d’analyse et de synthèse</li><li>Excellente communication écrite et orale</li></ul><p><strong>Compétences clés :</strong></p><br><ul><li>Analyse de besoins et rédaction de spécifications</li><li>Data management (qualité, gouvernance, valorisation)</li><li>Accompagnement du changement et formation utilisateurs</li><li>Coordination transverse et planification</li><li>Reporting et suivi d’indicateurs</li><li>Veille technologique (IA, data, digital)</li></ul>
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toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Contexte :</strong></p><br><p>Dans le cadre du renforcement de l’équipe de développement DATA&IA, nous recherchons pour notre client un consultant pour participer à la conception, au développement et à l’industrialisation de solutions Data, BI et Intelligence Artificielle, afin de valoriser les données de l’entreprise et accompagner sa transformation digitale.</p><br><ul><li><strong>Durée :</strong> 110 JH
renouvelables </li><li><strong>Démarrage :</strong> ASAP</li><li><strong>Localisation :</strong> Casablanca, Maroc</li></ul><p><strong>Missions principales :</strong></p><br><ul><li>Gérer le cycle de vie des données : extraction, transformation, chargement et valorisation via pipelines et tableaux de bord</li><li>Développer et maintenir des flux ETL (Talend Open Studio, Python) et orchestrer les workflows avec Apache Airflow</li><li>Concevoir et déployer des tableaux de bord interactifs avec Qlik Sense</li><li>Utiliser Python pour automatiser les traitements et réaliser des analyses avancées</li><li>Concevoir, entraîner et optimiser des modèles IA (Machine Learning, Deep Learning, NLP, Computer Vision)</li><li>Industrialiser les solutions IA (socle technique, intégration dans les applications existantes)</li><li>Définir et implémenter des architectures IA robustes et scalables (API, microservices, MLOps)</li><li>Nettoyer, transformer et garantir la qualité des datasets pour l’entraînement des modèles</li><li>Collaborer avec les équipes métiers, Data et Dev pour assurer la mise en production</li><li>Assurer une veille technologique pour enrichir le socle technique</li></ul><p><strong>Activités complémentaires :</strong></p><br><ul><li>Assister aux ateliers de cadrage technique et fonctionnel</li><li>Communiquer avec les parties prenantes des projets</li></ul><p><strong>Compétences techniques requises :</strong></p><br><ul><li>ETL : Talend Open Studio, Python, Apache Airflow</li><li>BI : Qlik Sense</li><li>Python : automatisation, analyse, développement IA (Pandas, NumPy)</li><li>Frameworks IA : TensorFlow, PyTorch, Scikit-learn</li><li>Industrialisation IA : socle technique, intégration, MLOps</li><li>Gouvernance et qualité des données</li><li>Capacité à transformer les besoins métiers en solutions Data & IA performantes</li></ul><p><strong>Compétences comportementales :</strong></p><br><ul><li>Travail collaboratif avec développeurs et équipes techniques</li><li>Fort engagement et disponibilité</li></ul>
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toto
Morocco - Boulemane
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Contexte :</strong></p> <p>Nous recherchons un Expert Data & IA pour accompagner notre clients dans le d ploiement de solutions d intelligence artificielle grande chelle, avec une forte exigence de gouvernance, de MLOps et d int gration syst me.</p> <ul> <li><strong>Localisation :</strong> Casablanca, Maroc</li> <li><strong>Type de contrat :</strong> Freelance</li> <li><strong>D marrage :</strong> ASAP</li> </ul> <p><strong>Missions principales :</strong></p> <ul> <li>Concevoir et architecturer des assistants IA (LLM souverains, RAG, agents conversationnels)</li> <li>D ployer des pipelines MLOps complets (monitoring des d rives, d tection de biais, d ploiements progressifs A/B, shadow, canary)</li> <li>Assurer l int gration des mod les dans les syst mes d information existants (API, microservices, cloud hybride)</li> <li>Mettre en place des strat gies de r duction des risques (guardrails, retraining policies, differential privacy)</li> <li>Optimiser les co ts et les performances des infrastructures data (ELT, data quality, versioning)</li> <li>Accompagner les quipes internes dans l adoption et le passage chelle des solutions IA</li> </ul> <p><strong>Technologies & m thodes :</strong></p> <ul> <li>LLM / RAG / fine tuning</li> <li>Prompt monitoring, drift detection</li> <li>A/B testing, shadow deployment, canary deployment</li> <li>Pipelines CI/CD, MLflow, Kubernetes</li> <li>Python, SQL</li> <li>Cloud (AWS, Azure, GCP)</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Profil recherch :</strong></p> <ul> <li>Master en Computer Science ou quivalent</li> <li>Exp rience significative en tant que Lead AI Architect ou Tech Lead</li> <li>Ma trise des technologies LLM, RAG, Agentic AI, Predictive AI</li> <li>Expertise en MLOps (MLflow, monitoring de d rive, d ploiements progressifs, CI/CD)</li> <li>Comp tences data engineering (pipelines ELT, Big Data, qualit /versioning, pseudonymisation)</li> <li>Connaissance des enjeux d thique, de conformit et de s curit en IA</li> </ul><p></p></section>
toto
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<b>Position:</b>Master Data Management Analyst<br><br><b>Job Description:</b><p><b>Arrow Enterprise Computing Solutions</b> (ECS), a part of Arrow Electronics, brings innovative IT solutions to market to solve complex business challenges. We deliver value-added distribution, business consulting and channel enablement services to leading technology manufacturers and their channel partners. We help businesses grow faster, operate efficiently, and transform in a dynamic market (more information through this link : https://www.arrow.com/globalecs/).</p><br><br><br><p><b>About Us</b></p><br><br><p><b>Arrow Enterprise Computing Solutions (ECS)</b>, part of Arrow Electronics, is a leading global provider of IT solutions that help businesses grow faster, operate efficiently, and transform in today’s dynamic market. We partner with industry leaders like Microsoft and AWS to deliver innovative cloud solutions, supporting customers across EMEA and North America. Our mission is to empower organizations with the tools, programs, and expertise they need to succeed in the cloud-first world.</p><br><br><br><p><b>Summary</b></p><br><br><p>Arrow is seeking a<b>Business-Oriented MDM Analyst</b> to support its global Master Data Management program by working closely with stakeholders to ensure high-quality, business-relevant data.</p><br><br><p><b>Key Responsibilities</b></p><br><br><ul><li><p>Gather and document business requirements for master data</p><br><br></li><li><p>Work with users to understand data needs and use cases</p><br><br></li><li><p>Ensure customer, vendor, and product data meets business rules (e.g., VAT/tax completeness)</p><br><br></li><li><p>Identify data quality issues and coordinate fixes with IT/MDM teams</p><br><br></li><li><p>Support reporting, dashboards, and data-driven insights</p><br><br></li><li><p>Act as the bridge between business functions within Arrow (ECS & Components) and technical teams</p><br><br></li></ul><p><b>Profile</b></p><br><br><ul><li><p>1–3 years in<b>business analysis, data analysis, or MDM</b></p><br><br></li><li><p>Knowledge of<b>Informatica MDM</b></p><br><br></li><li><p>Strong stakeholder communication and listening skills</p><br><br></li><li><p>Comfortable working in global teams</p><br><br></li></ul><br><p><b>What’s In It for You</b></p><br><br><ul><li><p>A <b>full-time permanent role</b> within a globally recognized IT leader.</p><br><br></li><li><p>A <b>dynamic international environment</b>, collaborating with teams all around the world.</p><br><br></li><li><p>Opportunities for <b>career growth and professional development</b> in cloud and project management.</p><br><br></li><li><p>A culture that values <b>innovation, collaboration, and continuous improvement</b>.</p><br><br></li><li><p>Full Permanent contract,</p><br><br></li><li><p>Social advantages: CNSS, CIMR, Health insurance.</p><br><br></li></ul><p>#LI-JC1</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>
Morocco
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Publication date :</strong> May 21, 2026, 12:00AM</p><br><br>Vidéo EVP<br>Déclaration de mission de l'entreprise<p>Join us at Orange Business!<br>We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.<br>Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.</p><br><br>À propos du rôle<p><span>We are looking for a Data Scientist with an agile mindset who can move seamlessly between fast experimentation and scalable delivery. You will be able to build Proof of Concepts (PoCs) quickly, while also contributing to production-level, high-scalability AI initiatives.</span></p><br><br><p><span>Key responsibilities</span></p><br><br><ul><li><span>Deliver PoCs: design, develop, and validate AI/analytics prototypes to demonstrate value and support decision-making.</span></li><li><span>Build scalable AI solutions: develop robust models and data-driven services that can operate reliably in production.</span></li><li><span>Develop automation use cases: create AI-driven automation to optimize workflows and improve efficiency.</span></li><li><span>Create predictive models: build and deploy models for prediction, classification, forecasting, and decision support.</span></li><li><span>Implement Generative AI (GenAI): contribute to GenAI use cases (e.g., assistants, text generation, document-related intelligence), when relevant.</span></li><li><span>Work with engineering and business stakeholders: collaborate across teams to translate needs into technical solutions and measurable outcomes.</span></li><li><span>Ensure model and data quality: monitor performance, validate results, and improve reliability over time (data quality, evaluation, documentation).</span></li><li><span>Communicate results clearly: present insights, model behavior, and outcomes to both technical and non-technical audiences.</span></li></ul><p><span>The role will cover a broad range of use cases, including:</span></p><br><br><ul><li><span>Automation and optimization of business workflows</span></li><li><span>Predictive analytics (forecasting, classification, churn/retention, etc.)</span></li><li><span>Generative AI (GenAI) solutions where relevant</span></li></ul><br>À propos de vous<p><span>Technical skills</span></p><br><br><ul><li><span>Statistical analysis & experimentation (hypothesis testing, A/B testing, causal thinking basics)</span></li><li><span>Programming for data science: Python and/or R</span><ul><li><span>Data wrangling, modeling workflows, reproducible code</span></li></ul></li><li><span>Data handling & large datasets</span><ul><li><span>SQL (must-have)</span></li><li><span>Scalable data concepts (and Spark if applicable)</span></li></ul></li><li><span>Machine Learning</span><ul><li><span>Supervised/unsupervised learning, feature engineering, evaluation metrics</span></li></ul></li><li><span>Deep Learning (optional but valued)</span><ul><li><span>Core neural network concepts; frameworks as applicable</span></li></ul></li><li><span>Generative AI (GenAI) & LLM concepts (depending on role)</span><ul><li><span>Prompting, embeddings, RAG, evaluation basics, safe usage</span></li></ul></li><li><span>LLM development tooling (if GenAI is in scope)</span><ul><li><span>Example frameworks: LangChain / LlamaIndex (or equivalents)</span></li></ul></li><li><span>Data pipelines & ETL/ELT</span><ul><li><span>Orchestration, data quality, reliable data preparation</span></li></ul></li><li><span>Data modeling</span><ul><li><span>Dimensional modeling concepts (star/snowflake), schema design mindset</span></li></ul></li><li><span>Model evaluation & validation</span><ul><li><span>Cross-validation, offline/online monitoring concepts</span></li></ul></li><li><span>MLOps fundamentals</span><ul><li><span>Deployment concepts, versioning, monitoring, retraining workflows</span></li></ul></li><li><span>Data visualization & storytelling</span><ul><li><span>BI awareness + dashboards (tools depending on your stack)</span></li></ul></li></ul><p><span>Soft skills</span></p><br><br><ul><li><span>Agile mindset (iterate quickly on PoCs and evolve to scalable solutions)</span></li><li><span>Strong problem-solving & analytical thinking</span></li><li><span>Ability to translate business needs into data solutions (clear success metrics)</span></li><li><span>Communication skills (explain results, assumptions, limitations)</span></li><li><span>Collaboration with Engineering/Product/Business teams</span></li><li><span>Ownership & accountability (follow through on impact)</span></li><li><span>Continuous learning (especially in fast-changing AI/GenAI domains)</span></li><li><span>Quality, ethics & responsibility (bias awareness, data governance mindset)</span></li></ul><br><p>You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.</p><br><br>Informations supplémentaires<p><strong>• Global Opportunities:</strong> Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.<br><strong>• Flexible Work Environment:</strong> Flexible working hours and possibility to combine work from office and home (hybrid ways of working).<br><strong>• Professional Development:</strong> training programs and upskilling/re-skilling opportunities.<br><strong>• Career Growth:</strong> Internal growth and mobility opportunities within Orange.<br><strong>• Caring and Daring Culture:</strong> Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.<br><strong>• Reward Programs:</strong> Employee Referral Program, Change Maker Awards.</p><br><br>Égalité des chances en matière d'emploi<p>Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.</p><br><br>Récompenses..<p> At Orange, only your skills matter.
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<p> Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
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