وظائف مطورين بايثون في الأردن
٤١١ وظائف شاغرة
جهة العمل غير مُفصح عنها
الأردن - عمّان
<p><h4>Description</h4>
<p>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<h4>About the role</h4>
<p>This is a freelance role for a Tendem project. As a bot developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li>
<li>Design and implement conversational flows, dialogue state, and fallback handling.</li>
<li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li>
<li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li>
<li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li>
<li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li>
<li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li>
</ul>
<h4>Requirements and benefits</h4>
<h4>Educational qualifications</h4>
<ul>
<li>At least 3 years of relevant experience in backend, integration, automation, or bot development (required).</li>
<li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li>
</ul>
<h4>Academic and/or professional experience</h4>
<p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p>
<h4>Technical skills (essential)</h4>
<ul>
<li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li>
<li>Strong command of Python or Node.js for backend bot logic.</li>
<li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li>
<li>Experience with relational or NoSQL databases for storing conversation state and user data.</li>
<li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li>
<li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li>
<li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li>
</ul>
<h4>Additional requirements</h4>
<ul>
<li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li>
<li>Self-directed work ethic with the ability to design and ship complete bots independently.</li>
<li>Portfolio or examples of bots you've built (required).</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p>
<h4>Why this freelance opportunity might be a great fit for you?</h4>
<ul>
<li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li>
<li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li>
<li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li>
</ul></p><p></p>
جهة العمل غير مُفصح عنها
الأردن - عمّان
<p><h4>Description</h4>
<p>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<h4>About the role</h4>
<p>This is a freelance role for a Tendem project. As a bot developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li>
<li>Design and implement conversational flows, dialogue state, and fallback handling.</li>
<li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li>
<li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li>
<li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li>
<li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li>
<li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li>
</ul>
<h4>Requirements and benefits</h4>
<h4>Educational qualifications</h4>
<ul>
<li>At least 3 years of relevant experience in backend, integration, automation, or bot development (required).</li>
<li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li>
</ul>
<h4>Academic and/or professional experience</h4>
<p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p>
<h4>Technical skills (essential)</h4>
<ul>
<li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li>
<li>Strong command of Python or Node.js for backend bot logic.</li>
<li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li>
<li>Experience with relational or NoSQL databases for storing conversation state and user data.</li>
<li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li>
<li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li>
<li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li>
</ul>
<h4>Additional requirements</h4>
<ul>
<li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li>
<li>Self-directed work ethic with the ability to design and ship complete bots independently.</li>
<li>Portfolio or examples of bots you've built (required).</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p>
<h4>Why this freelance opportunity might be a great fit for you?</h4>
<ul>
<li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li>
<li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li>
<li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li>
</ul></p><p></p>
INSO - International NGO Safety Organisation
الأردن - عمّان
<p><strong>Position: Information Manager</strong></p>
<p><strong>Country Office: Afghanistan - Remotely </strong></p>
<p><strong>Work Location: </strong><strong> Amman, Jordan</strong></p>
<p><strong>Closing Date:</strong> <strong>20 August</strong></p>
<p><strong>Expected Start Date: 1 October 2026</strong></p>
<p> </p>
<h1>About INSO</h1>
<p>Founded in 2011, the International NGO Safety Organization (INSO) is an international NGO that supports humanitarian aid workers by establishing safety coordination platforms in insecure contexts. INSO provides registered NGOs with a range of free services, including real-time incident tracking, analytical reports, safety-related data and mapping, crisis management support, staff orientations, and training. INSO provides daily support to more than 1,500 NGOs operating in 24 of the world’s most insecure countries. INSO is registered in the Netherlands, with its headquarters located in The Hague, a city renowned for its international focus on peace and justice.</p>
<p>Job Summary</p>
<p>INSO is seeking an experienced Information Manager to lead the Afghanistan team’s Information Management function. The role ensures the effective management and use of security and operational data that supports humanitarian organisations operating in complex environments.</p>
<p>The Information Manager oversees key systems such as the Conflict & Humanitarian Data Centre (CHDC) and the INSO Partner Portal, while transforming data into clear visual products—charts, maps, and dashboards—used in reports and analysis.</p>
<p>Working closely with programme teams, partners, and HQ, the Information Manager helps strengthen data systems and workflows that enable humanitarian actors to operate more safely and effectively.</p>
<p>Main responsibilities</p>
<p><strong>Manage the Conflict & Humanitarian Data Centre (CHDC)</strong></p>
<ul>
<li>Act as the country focal point for the Conflict & Humanitarian Data Centre (CHDC).</li>
<li>Ensure incidents are correctly categorised, verified, and maintained in line with INSO methodology.</li>
<li>Monitor and improve the quality and integrity of security incident data.</li>
<li>Train and support INSO staff and Partners on CHDC and its methodology.</li>
</ul>
<p><strong>Develop Data Visualisations and Analytical Products</strong></p>
<ul>
<li>Transform data into clear and impactful charts, maps, dashboards, and visual products.</li>
<li>Support programme teams in using data and visualisations to strengthen reporting and analysis.</li>
<li>Improve tools, workflows, and processes used to produce visual outputs.</li>
</ul>
<p><strong>Manage the INSO Portal and other Platforms</strong></p>
<ul>
<li>Manage the INSO Partner Portal and related platforms.</li>
<li>Support partners in accessing and using the Portal and INSO App.</li>
<li>Monitor partner registration and ensure the accuracy of partner data.</li>
</ul>
<p><strong>Lead the Information Management Team</strong></p>
<ul>
<li>Lead and support the Information Management team, ensuring high standards in data management and analysis.</li>
<li>Recruit, mentor, and develop team members while fostering a collaborative and supportive work environment.</li>
<li>Organise team priorities and delegate tasks to ensure the timely delivery of information products and services.</li>
</ul>
<p><strong>Coordination and Global Collaboration</strong></p>
<ul>
<li>Coordinate information management activities across the Country Office.</li>
<li>Work closely with programme teams to identify data needs and improve information workflows.</li>
<li>Work with programme teams to improve information workflows and data use.</li>
<li>Contribute to INSO’s global information management initiatives and systems.</li>
</ul>
<p><strong>Provide IT Support (when applicable)</strong></p>
<ul>
<li>Provide basic IT troubleshooting and user support to staff.</li>
<li>Maintain shared information platforms such as SharePoint.</li>
<li>Coordinate with HQ IT on technical issues and system updates.</li>
</ul>
<h1>Requirements</h1>
<p><strong>Essential</strong></p>
<ul>
<li>Fluency in English and the working language of the CO, both written and verbal.</li>
<li>Minimum 5 years of experience in data management, data visualisation, or information management.</li>
<li>Minimum 2 years of experience managing a team.</li>
<li>Experience with Power BI and DAX, or similar BI software (such as Tableau).</li>
<li>Proficiency in database management using SQL.</li>
<li>Working knowledge of scripting languages such as Python or R.</li>
<li>Basic knowledge in GIS software and systems (e.g. using QGIS or ArcGIS).</li>
<li>Demonstrated ability to communicate technical information clearly to non-technical audiences.</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Master’s degree or equivalent in Information Systems, Computer Science, Data Management, GIS, or relevant field.</li>
<li>Experience working with humanitarian organisations, particularly NGOs operating in complex contexts.</li>
<li>Proficiency or familiarity with Persian and/or Pashto</li>
<li>Knowledge of the regional context or previous professional experience in the region.</li>
<li>Experience delivering training or capacity building related to data or information management tools.</li>
</ul>
<p><strong>Core Competencies</strong></p>
<ul>
<li>Attention to details – Ensures accuracy and quality by carefully reviewing data, reports, and processes.</li>
<li>Analytical Thinking – Interprets complex data with accuracy to support decision-making.</li>
<li>Leadership – Guides and develops team members through mentoring, clear direction, and effective delegation.</li>
<li>Collaboration – Fosters teamwork and shared goals across diverse groups.</li>
<li>Diplomacy – Builds trust and inclusion through empathy and listening.</li>
<li>Communication – Conveys information clearly and adapts to the audience.</li>
<li>Proactivity – Anticipates issues and suggests practical, forward-thinking solutions.</li>
</ul>
<h1>INSO’s Safeguarding Policy</h1>
<p>INSO is fully committed to the safe recruitment, selection and vetting of all potential new staff, trustees and volunteers, and we will ensure rigorous compliance with our Code of Conduct and Safeguarding policy throughout the recruitment process.</p>
<p>Terms & Conditions</p>
<p>12-month renewable contract, <strong>USD 4200</strong> per month salary, 1.75 days annual leave per month, medical coverage.</p>
<p>How to apply</p>
<p>Please submit completed applications to <strong><u>jobs@afg.ngosafety.org</u></strong> and reference <strong>‘IM - AFG’</strong> in the subject line. Applications should be in English and include:</p>
<ul>
<li>An updated CV</li>
<li>A one-page cover letter detailing why you are interested in working for INSO and how your qualifications align specifically with the competencies required for the role.</li>
</ul>
<p> </p>
INSO Palestine
الأردن - عمّان
<p><strong>Position: Information Manager</strong></p>
<p><strong>Country Office: Afghanistan - Remotely </strong></p>
<p><strong>Work Location: </strong><strong> Amman, Jordan</strong></p>
<p><strong>Closing Date:</strong> <strong>20 August</strong></p>
<p><strong>Expected Start Date: 1 October 2026</strong></p>
<p> </p>
<h1>About INSO</h1>
<p>Founded in 2011, the International NGO Safety Organization (INSO) is an international NGO that supports humanitarian aid workers by establishing safety coordination platforms in insecure contexts. INSO provides registered NGOs with a range of free services, including real-time incident tracking, analytical reports, safety-related data and mapping, crisis management support, staff orientations, and training. INSO provides daily support to more than 1,500 NGOs operating in 24 of the world’s most insecure countries. INSO is registered in the Netherlands, with its headquarters located in The Hague, a city renowned for its international focus on peace and justice.</p>
<p>Job Summary</p>
<p>INSO is seeking an experienced Information Manager to lead the Afghanistan team’s Information Management function. The role ensures the effective management and use of security and operational data that supports humanitarian organisations operating in complex environments.</p>
<p>The Information Manager oversees key systems such as the Conflict & Humanitarian Data Centre (CHDC) and the INSO Partner Portal, while transforming data into clear visual products—charts, maps, and dashboards—used in reports and analysis.</p>
<p>Working closely with programme teams, partners, and HQ, the Information Manager helps strengthen data systems and workflows that enable humanitarian actors to operate more safely and effectively.</p>
<p>Main responsibilities</p>
<p><strong>Manage the Conflict & Humanitarian Data Centre (CHDC)</strong></p>
<ul>
<li>Act as the country focal point for the Conflict & Humanitarian Data Centre (CHDC).</li>
<li>Ensure incidents are correctly categorised, verified, and maintained in line with INSO methodology.</li>
<li>Monitor and improve the quality and integrity of security incident data.</li>
<li>Train and support INSO staff and Partners on CHDC and its methodology.</li>
</ul>
<p><strong>Develop Data Visualisations and Analytical Products</strong></p>
<ul>
<li>Transform data into clear and impactful charts, maps, dashboards, and visual products.</li>
<li>Support programme teams in using data and visualisations to strengthen reporting and analysis.</li>
<li>Improve tools, workflows, and processes used to produce visual outputs.</li>
</ul>
<p><strong>Manage the INSO Portal and other Platforms</strong></p>
<ul>
<li>Manage the INSO Partner Portal and related platforms.</li>
<li>Support partners in accessing and using the Portal and INSO App.</li>
<li>Monitor partner registration and ensure the accuracy of partner data.</li>
</ul>
<p><strong>Lead the Information Management Team</strong></p>
<ul>
<li>Lead and support the Information Management team, ensuring high standards in data management and analysis.</li>
<li>Recruit, mentor, and develop team members while fostering a collaborative and supportive work environment.</li>
<li>Organise team priorities and delegate tasks to ensure the timely delivery of information products and services.</li>
</ul>
<p><strong>Coordination and Global Collaboration</strong></p>
<ul>
<li>Coordinate information management activities across the Country Office.</li>
<li>Work closely with programme teams to identify data needs and improve information workflows.</li>
<li>Work with programme teams to improve information workflows and data use.</li>
<li>Contribute to INSO’s global information management initiatives and systems.</li>
</ul>
<p><strong>Provide IT Support (when applicable)</strong></p>
<ul>
<li>Provide basic IT troubleshooting and user support to staff.</li>
<li>Maintain shared information platforms such as SharePoint.</li>
<li>Coordinate with HQ IT on technical issues and system updates.</li>
</ul>
<h1>Requirements</h1>
<p><strong>Essential</strong></p>
<ul>
<li>Fluency in English and the working language of the CO, both written and verbal.</li>
<li>Minimum 5 years of experience in data management, data visualisation, or information management.</li>
<li>Minimum 2 years of experience managing a team.</li>
<li>Experience with Power BI and DAX, or similar BI software (such as Tableau).</li>
<li>Proficiency in database management using SQL.</li>
<li>Working knowledge of scripting languages such as Python or R.</li>
<li>Basic knowledge in GIS software and systems (e.g. using QGIS or ArcGIS).</li>
<li>Demonstrated ability to communicate technical information clearly to non-technical audiences.</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Master’s degree or equivalent in Information Systems, Computer Science, Data Management, GIS, or relevant field.</li>
<li>Experience working with humanitarian organisations, particularly NGOs operating in complex contexts.</li>
<li>Proficiency or familiarity with Persian and/or Pashto</li>
<li>Knowledge of the regional context or previous professional experience in the region.</li>
<li>Experience delivering training or capacity building related to data or information management tools.</li>
</ul>
<p><strong>Core Competencies</strong></p>
<ul>
<li>Attention to details – Ensures accuracy and quality by carefully reviewing data, reports, and processes.</li>
<li>Analytical Thinking – Interprets complex data with accuracy to support decision-making.</li>
<li>Leadership – Guides and develops team members through mentoring, clear direction, and effective delegation.</li>
<li>Collaboration – Fosters teamwork and shared goals across diverse groups.</li>
<li>Diplomacy – Builds trust and inclusion through empathy and listening.</li>
<li>Communication – Conveys information clearly and adapts to the audience.</li>
<li>Proactivity – Anticipates issues and suggests practical, forward-thinking solutions.</li>
</ul>
<h1>INSO’s Safeguarding Policy</h1>
<p>INSO is fully committed to the safe recruitment, selection and vetting of all potential new staff, trustees and volunteers, and we will ensure rigorous compliance with our Code of Conduct and Safeguarding policy throughout the recruitment process.</p>
<p>Terms & Conditions</p>
<p>12-month renewable contract, <strong>USD 4200</strong> per month salary, 1.75 days annual leave per month, medical coverage.</p>
<p>How to apply</p>
<p>Please submit completed applications to <strong><u>jobs@afg.ngosafety.org</u></strong> and reference <strong>‘IM - AFG’</strong> in the subject line. Applications should be in English and include:</p>
<ul>
<li>An updated CV</li>
<li>A one-page cover letter detailing why you are interested in working for INSO and how your qualifications align specifically with the competencies required for the role.</li>
</ul>
<p> </p>
toto
الأردن
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience.</p><p><br></p><p>Avertra’s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world. We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>● Designing, building, shipping, and maintaining distributed systems.</p><p>● Building Monitoring, logging, alerting around our infrastructure and applications.</p><p>● Improving the reliability of our systems and CI/CD pipelines both internally and for our customers.</p><p>● Putting everything into code.</p><p>● Plan for reliability by designing systems to work across our multi-region and multi-cloud environments.</p><p>● Working in close collaboration with multi-functional teams.</p><p>● Technical writing / Documentation.</p><p>● Vendor Management.</p><p><br></p><p><b>Main Job Responsibilities:</b></p><p><b></b></p><p><b>Continuous Integration and Deployment:</b></p><p>• Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOps…etc.</p><p>• Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</p><p><br></p><p><b>Infrastructure Automation:</b></p><p>• Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</p><p>• Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</p><p><br></p><p><b>Monitoring and Performance Optimization:</b></p><p>• Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</p><p>• Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</p><p><br></p><p><b>Collaboration and Communication:</b></p><p>• Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</p><p>• Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</p><p><br></p><p><b>Security and Compliance:</b></p><p>• Implement and enforce security best practices throughout the software development lifecycle.</p><p>• Ensure compliance with relevant regulations, industry standards, and internal policies.</p><p><br></p><p><b>Documentation and Knowledge Sharing:</b></p><p>• Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</p><p>• Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Experience: </b></p><p><br></p><p>● 5+ years of relevant of hands-on experience in the DevOps industry</p><p>● Containerization (Kubernetes and OpenShift)</p><p>● Configuration tools and frameworks (Terraform, Istio, Helm)</p><p>● Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</p><p>● Public clouds: AWS/Azure/GCP/Mendix</p><p>● Security Awareness</p><p>● Experience with CI/CD concepts</p><p>● Experience in conducting IT audits, both internal and external</p><p><br></p><p><b>Needed Competencies:</b></p><p><br></p><p>● Fluent in both oral and written English</p><p>● Time Management skills</p><p>● Capable of succeeding in a very dynamic and fast-paced environment</p><p>● Able to work individually as well as being a cooperative team player</p><p>● Knowledge of programming languages</p><p>● Strong problem-solving skills</p><p>● Good attention to detail</p><p>● Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</p><p>● Awareness of DevOps and Agile principles.</p><p><br></p><p><b>Knowledge, Skills and Abilities:</b></p><p><br></p><p>• Strong understanding of software development methodologies and the SDLC.</p><p>• Proficiency in scripting languages such as Bash, Python, or PowerShell.</p><p>• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</p><p>• Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</p><p>• Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</p><p>• Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</p><p>• Understanding of networking concepts and protocols.</p><p>• Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</p><p>• Strong problem-solving and troubleshooting skills.</p><p>• Excellent communication and collaboration skills.</p><p><br></p><p><b>Preferences:</b></p><p><br></p><p>● AWS Certified DevOps Engineer Professional.</p><p>● AWS Certified DevOps Engineer - Professional Certification.</p><p>● Azure DevOps Engineer Expert.</p><p>● Certified Kubernetes Administrator (CKA).</p><p>● Docker Certified Associate (DCA).</p><p>● Puppet Certified Professional.</p><p><br></p><p><b>Education:</b> Degree in Computer Science or related field (Master / Bachelor level).</p><p><br></p><p><b>Travel:</b> Based on customer requirement(s).</p><p><br></p><p><b>Work Schedule:</b> Local Avertra office schedule.</p><p><br></p><p>Benefits</p><p><b>What can we promise you:</b></p><ul><li>You’ll join a global family of awesome, passionate people that are working together to build a sustainable, scalable ecosystem committed to using logic to create a better experience.</li><li>We want you to help us become better. You will be empowered to drive change and innovate.</li><li>That we will invest in you. We will give you the opportunity to master your domain and drive excellence.</li></ul><p><br></p></div>
الأردن
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>At Syarah , we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make.<br> We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.<br> This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business —proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.<br> You will design and govern Syarah’s end-to-end data platform on GCP , unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.<br> You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.<br> Key Responsibilities Lead and mentor a cross-functional data team (engineering, analytics, data science) Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform) Design scalable ETL pipelines and unified star schema data models Integrate ERPNext and other operational systems into centralized data architecture Build and deploy containerized services using Docker on Cloud Run Develop and maintain Flask REST APIs for secure data sharing Own data DevOps , including CI/CD pipelines and infrastructure management Orchestrate workflows using Apache Airflow Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake Ensure reliable event tracking, identity resolution, and funnel analytics across platforms Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking Deliver proactive insights: identify trends, anomalies, and risks before they are requested Translate data into executive-level business decisions and recommendations Define KPI frameworks and build trusted data products for finance, operations, and product teams Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation 7+ years of experience in data engineering, analytics, or data platform roles Proven experience in a data leadership or senior technical role Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform) Advanced proficiency in Python and SQL Solid experience building and scaling data pipelines and ETL architectures Experience with API development (Flask or similar frameworks) Hands-on experience with Airflow or other workflow orchestration tools Strong knowledge of product analytics and mobile attribution tools (e.<br>g., Mixpanel, Adjust) Experience working with ERP systems (ERPNext or similar) is a plus Strong understanding of data modeling, KPI frameworks, and business intelligence Experience in building or leading data teams Strong business acumen with ability to translate data into actionable insights Experience with CI/CD, Docker, and cloud infrastructure management Exposure to AI/ML tools or LLM-based automation is a strong plus Excellent communication skills and ability to work closely with executive leadership</span> </div>
Hikma Pharmaceuticals PLC
الأردن
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><strong><span>Location:</span></strong><span> Amman, Jordan</span></p><br>
<p><strong><span>Job Type:</span></strong><span> Full-time</span></p><br>
<p><strong><span>Hashtag:</span></strong><span> #LI-AA2</span></p><br> <p><strong><span>About Us :</span></strong></p><br>
<p><span>For over 45 years, Hikma Pharmaceuticals has been putting better health within reach, every day, by creating high-quality medicines and making them accessible to those who need them. We are helping to shape a healthier world that enriches all our communities, and our global team of 9,500+ empowered employees are central to this mission. </span></p><br> <p><span>As a trusted and reliable partner of over 800 high-quality generics, specialty and branded pharmaceutical products, we are driven to improve access to medicine. Through our 29 manufacturing plants, 3 R&D hubs across the MENA, North America and Europe, our footprint allows us to play a critical role in serving patients. </span></p><br> <p><strong><span>Description:</span></strong></p><br> <p><span>We are looking for a talented <strong>Sr. Specialist. Data Scientist </strong>to join us. At Hikma you’ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We’re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</span></p><br> <p><span>If you want to be part of a team that cares about impact, this is the place for you.</span></p><br> <p><strong><span>Key Responsibilities:</span></strong></p><br>
<ul>
<li><span>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</span></li>
<li><span>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</span></li>
<li><span>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</span></li>
<li><span>Design and optimize data pipelines to enable ML model training, validation, and deployment.</span></li>
<li><span>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</span></li>
<li><span>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</span></li>
<li><span>Ensure data quality, governance, and compliance while handling sensitive financial data.</span></li>
<li><span>Utilize automation tools such as Selenium to streamline data collection and processing workflows</span></li>
</ul>
<p><strong><span>Qualifications:</span></strong></p><br>
<p><span>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</span></p><br>
<ul>
<li><span>Minimum: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</span></li>
<li><span>Preferred: Master’s degree in Data Science or a related field.</span></li>
<li><span>At least 4-7 years’ experience in data science and machine learning.</span></li>
<li><span>Experience in a Finance department is plus.</span></li>
</ul> <p><strong><span>Skills:</span></strong></p><br>
<ul>
<li><span>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</span></li>
<li><span>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</span></li>
<li><span>Hands-on experience with SQL and working with relational databases.</span></li>
<li><span>Knowledge of big data processing frameworks such as PySpark.</span></li>
<li><span>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</span></li>
<li><span>Experience with data visualization tools such as Power BI, Tableau.</span></li>
<li><span>Strong problem-solving, analytical, and critical-thinking skills.</span></li>
<li><span>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</span></li>
<li><span>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</span></li>
</ul> <p><strong><span>Learn more about Hikma in Jordan </span></strong><strong><span>hikma-jordan-factsheet-aug-2025-en.pdf</span></strong></p><br>
</div>
IMPACT Initiatives
الأردن - Jordan
<p>BACKGROUND ON IMPACT AND REACH IMPACT Initiatives is a humanitarian NGO, based in Geneva, Switzerland. The organisation manages several initiatives, including the REACH Initiative. The IMPACT team comprises specialists in data collection, management and analysis, GIS and remote sensing. IMPACT was launched at the initiative of ACTED, an international NGO with headquarters based in Paris and presence in thirty countries. The two organizations have a strong complementarity formalized in a global partnership, which allows IMPACT to benefit from ACTED s operational support in its fields of intervention. We are currently looking for an Information Management Officer (IMO) to support our team in the occupied Palestinian territory (oPt): Position: Senior Information Management Officer (IMO) Site Management Cluster Contract duration : 9 months Starting Date : 24 August 2026 Location : Amman, Jordan COUNTRY PROFILE The humanitarian situation in the occupied Palestinian territories (oPt) has reached dire levels, particularly in the Gaza Strip, where ongoing hostilities have resulted in mass displacement, the collapse of basic services, and a near-total breakdown of civilian infrastructure. With 2.1 million people affected, access to food, water, healthcare, and shelter remains critically limited. The scale of destruction and access constraints have created an environment where humanitarian needs far exceed available resources. At the same time, rising tensions and violence in the West Bank have severely impacted freedom of movement, livelihoods, and overall humanitarian conditions. In response, IMPACT Initiatives is implementing a range of activities to support a needs-based, evidence-driven humanitarian response. This includes multi-sectoral household assessments, displacement site mapping, and market assessments across Gaza to inform coordination, operational planning, and strategic decision-making. POSITION PROFILE Under the supervision of IMPACT s Research Manager, the Senior Information Management Officer (SIMO) will lead on the aggregation of service and infrastructure mapping from response partners across the Gaza Strip. In coordination with Acted, UNDP and UN Habitat, the SIMO will be responsible for identifying valuable service and infrastructure data from local, national and international actors as well as UN Agencies in order to provide a comprehensive overview of ongoing humanitarian programming across the Strip. This role offers a unique opportunity to directly contribute to the response s effectiveness by supporting evidence-based planning and coordination. The IMO is expected to engage independently with partners and be confident articulating objectives to a range of audiences. The position requires strong technical skills in data management and analysis, excellent coordination and communication abilities, and a flexible, solutions-oriented mindset. An interest in humanitarian coordination and contextual developments in oPt is strongly preferred. RESPONSIBILITIES The Senior Information Management Officer s responsibilities include: Co-ordination and planning • Engage clusters, INGOs, NNGOs and CSOs to generate support and buy in for the service and infrastructure mapping • Generate an understanding of the information landscape within oPt actors, identifying which organisation or cluster has data on which services and infrastructure • Engage other coordinating bodies such as OCHA and act as IMPACT focal point across early recovering information management discussions • Promote the use of inter-operable technologies among partners; • Provide information outputs in the local language wherever feasible. • Receive data from partner organisations Data quality control • Generate sectoral specific data quality standards, working with information management officers in partner organisations to understand sector specific data quality requirements and document them • Generate data quality scripts to assess incoming data for quality issues • Generate shared data standards, including naming, data formatting and data taxonomies (for the standard naming of e.g. health care facility types across organizations) • Generate data quality key performance indicators • Work with partner organisations to address issues with the data they have provided • Promote data quality standards across partner organisations and build a culture of data integrity and accuracy within the response. Data visualization • Visualise the GIS and structured data shared by partners in a dashboard (using common data visualsation tools, e.g. R Shiny or PowerBI) • Ensure coherent style and design across the dashboard • Facilitate analysis through the dashboard user interface • Collaborate with UN Habitat, Acted and UNDP to ensure data visualisations align to their needs The Information Management Officer will maintain the strictest confidentiality on all data collected and related processes. They will actively take measures to prevent the unauthorized sharing of any information and data belonging to IMPACT and its partners, or collected during his/her assignment with IMPACT.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Excellent academic qualifications, including a Master's degree in relevant discipline (e.g. maths and statistics, information science, geography), or an equivalent combination of relevant training and experience in humanitarian related activities in disaster or conflict situation;</li><li>4 years of relevant working experience in a humanitarian setting, such as information management, GIS, monitoring and evaluation, research design and analysis, etc.;</li><li>Sound judgment and emotional intelligence in high-pressure or sensitive situations. Possesses strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities;</li><li>Knowledge of the humanitarian community, specifically with regards to inter-agency coordination;</li><li>Experience in the context of partnership building and consensual decision-making;</li><li>Proven ability to conceptualize, develop, plan monitor and evaluate IM in relation to programming, as well as to teach skills and build team capacity;</li><li>Excellent writing, communication and negotiation skills; ability to prepare clear and concise reports;</li><li>Understanding of different data collection methodologies and their strengths and weaknesses, to be able to assess quality/reliability of secondary sources and to advice on potential areas of improvement;</li><li>Ability to compile, triangulate and holistically analyse diverse and large datasets;</li><li>Experience with handling confidential and sensitive data and demonstrated;</li><li>Ability to work effectively and harmoniously in a team and in the inter-agency context with colleagues from a variety of cultures and professional backgrounds;</li><li>Resilience, stress tolerance and ability to work under difficult conditions;</li><li>Fluently spoken and written English is mandatory. Arabic an asset;</li><li>Data capture and analysis :<ul><li>MS Excel (Essential) : Ability to create macros; Strong knowledge of statistical, conditional, and text-based functions;</li><li>Web Design (Asset): HTML, PHP, ASP; Basic understanding of web-based applications</li><li>Mapping (Essential) : ArcGIS, QGIS, Understanding of geospatial data management, analysis, and map making processess.</li><li>Data programming (essential): R, Python, ability to write data cleaning and analysis pipeline scripts, GitHub or version control experience an asset.</li></ul></li></ul>
الأردن
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>About Lucidya Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br> Our platform brings together products including Social Listening, OmniServe, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br> As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly.<br> The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br> Why this role matters We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br> This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made.<br> You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br> You'll operate at two levels.<br> At the product and feature level , you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building.<br> You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br> At the leadership level , you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br> The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br> What You'll Do Turn product data into decisions.<br> You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.<br> Help teams define what success actually means.<br> You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched.<br> Understand how customers use our products.<br> You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.<br> Evaluate whether our products are delivering value.<br> You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives.<br> Bring insights into product discovery.<br> You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.<br> Challenge assumptions with evidence.<br> When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?<br>” — constructively and without creating friction.<br> Identify opportunities before you're asked.<br> You won't wait for a stakeholder to request a report.<br> You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter.<br> Support experimentation.<br> You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.<br> Make complex analysis easy to understand.<br> You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences.<br> Give leadership a clear view of product performance.<br> You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers.<br> Help Product become more self-sufficient with data.<br> You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.<br> Raise data literacy across Product.<br> You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works.<br> Build trust across teams.<br> You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority.<br> What Success Looks Like In your first 3-6 months, you'll be building trust.<br> Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br> As you establish yourself, you'll start changing how decisions are made.<br> Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br> Ultimately, success means Product becomes more intelligent.<br> Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br> The shift we're looking for is simple: From “What happened?<br>” → “Why did it happen?<br>” → “What should we do about it?<br>" Who You Are You're naturally curious.<br> When you see an unexpected number, you don't just add it to a report — you want to know what's behind it.<br> You think commercially, not just analytically.<br> You understand that an interesting insight isn't necessarily a useful one.<br> You can connect product behaviour to customer value, business performance, and investment decisions.<br> You don't need to be given the question.<br> You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it.<br> You can zoom in and out.<br> You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy.<br> You're willing to challenge people.<br> You don't simply validate what a stakeholder already believes.<br> You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.<br> You know that being right isn't enough.<br> Your analysis only creates value if people understand it and act on it.<br> You can turn complex findings into a simple story and a clear recommendation.<br> You're a strong communicator.<br> You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership.<br> You're proactive and self-directed.<br> You don't wait for a ticket to appear in your queue.<br> You notice something worth investigating and take ownership of finding out what it means.<br> You're comfortable with ambiguity and a changing environment.<br> Not every question will have a clean dataset or obvious answer.<br> You know how to work with imperfect information while being transparent about its limitations.<br> You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams.<br> You're technically strong.<br> You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools.<br> You understand product metrics deeply , including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.<br> You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means.<br> You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room.<br> You have professional working proficiency in English.<br> Nice to Have Experience designing or evaluating A/B tests and experiments.<br> Experience with statistical analysis.<br> Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.<br> Experience building or improving a product analytics function or data culture.<br> Experience presenting product recommendations to senior leadership.<br> Working knowledge of Python or R.<br> Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.<br> What the hiring process will look like Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.<br> Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems.<br> Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.<br> Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study.<br> Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.<br></span> </div>
Deloitte & Touche (M.E.)
الأردن - عمّان
<p><h4>AI & Data | AI Insights and Engagement | Consultant / Senior Consultant</h4>
<p>Looking for a rewarding career? Take a closer look at Deloitte & Touche. When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, Best Consulting Firm, and the Middle East Training & Development Excellence Award.</p>
<h4>Our purpose</h4>
<p>Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.</p>
<p>Our shared values guide the way we behave to make a positive, enduring impact:</p>
<ul>
<li><strong>Integrity</strong></li>
<li><strong>Outstanding value to markets and clients</strong></li>
<li><strong>Commitment to each other</strong></li>
<li><strong>Strength from cultural diversity</strong></li>
</ul>
<h4>Overview</h4>
<p>During your tenure as a Consultant / Senior Consultant in the AI & Data team, you will demonstrate and develop your capabilities in the following areas:</p>
<h4>Technical capabilities:</h4>
<ul>
<li>Proficiency in programming languages such as SAS, Python, R, or Scala for data manipulation, analysis, and model development.</li>
<li>Extensive knowledge of statistical analysis and mathematical modeling techniques.</li>
<li>Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or PyTorch.</li>
<li>Strong SQL skills for data querying and database management.</li>
<li>Understanding of NLP, NLG, and GenAI techniques.</li>
<li>Familiarity with big data processing tools like Hadoop, Spark, or Apache Flink.</li>
<li>Ability to work with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.</li>
<li>Experience in using deployment techniques such as cron jobs, Docker, and Kubernetes.</li>
<li>Hands-on experience in advanced data analysis techniques to extract insights, identify trends, and solve complex business problems.</li>
<li>Develop and implement statistical models, machine learning algorithms, and data mining techniques to discover patterns and opportunities in large datasets.</li>
<li>Clean, preprocess, and manipulate raw data to ensure data integrity and accuracy.</li>
<li>Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.</li>
<li>Design and build predictive models for various business applications, such as customer segmentation, churn prediction, and demand forecasting.</li>
<li>Conduct exploratory data analysis and visualization to communicate findings and recommendations effectively.</li>
<li>Stay up-to-date with the latest advancements in data science and technology to continuously improve analytical methodologies and tools.</li>
</ul>
<h4>Functional capabilities:</h4>
<ul>
<li>Produce a high-quality work product and collaborate with others to deliver a superior client experience.</li>
<li>Understand how business functions operate and how sector trends impact a client’s business.</li>
<li>Identify opportunities to improve the efficiency and effectiveness of key processes within a business function.</li>
<li>Solid understanding of business processes and the ability to apply data science concepts to solve real-world challenges.</li>
<li>Experience with data visualization tools like Tableau, Power BI, or matplotlib to create intuitive and actionable visualizations.</li>
<li>Proficiency in data storytelling, presenting complex analysis results to non-technical stakeholders in a clear and understandable manner.</li>
<li>Knowledge of data governance and ethics, ensuring compliance with data protection and privacy regulations.</li>
<li>Strong domain knowledge in the relevant industry (e.g., banking, finance, e-commerce, retail etc.) is a plus.</li>
</ul>
<h4>Leadership capabilities:</h4>
<ul>
<li>Identify and embrace our purpose and values and put these into practice in their professional life.</li>
<li>Develop self by actively seeking opportunities for growth, share knowledge and experiences with others, and act as a strong brand ambassador.</li>
<li>Seek opportunities to challenge self; team with others across businesses and borders to deliver and take accountability for own and team results.</li>
<li>Build relationships and communicate effectively in order to positively influence peers and other stakeholders.</li>
<li>Understand objectives for clients and Deloitte, align own work to objectives and set personal priorities.</li>
<li>Excellent communication and people skills, with a strong emphasis on team working.</li>
<li>Strong administrative and numeracy skills and ability to analyze complex data with good attention to details.</li>
<li>Ability to lead and mentor junior data scientists, guiding them in their professional growth and development.</li>
<li>Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.</li>
<li>Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.</li>
<li>Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.</li>
<li>Strong business acumen, identifying opportunities where data science can drive business value and growth.</li>
</ul>
<h4>Required qualifications:</h4>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li>
<li>1-6 years of practical experience in data science or related roles.</li>
<li>Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.</li>
<li>Good command of written and spoken English.</li>
<li>Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.</li>
<li>Willingness to travel across GCC region (50-75% of time).</li>
</ul>
<h4>Additional preferred qualifications:</h4>
<ul>
<li>Experience in Big Four or Global System Integrators is a plus.</li>
<li>Arabic language is a plus.</li>
<li>Professional certification in any of the above-mentioned tools or platforms will be a plus.</li>
<li>Publications or articles on data science topics is a plus.</li>
<li>Patents on machine learning would be an added advantage.</li>
</ul></p><p></p>
Deloitte & Touche (M.E.)
الأردن - عمّان
<p><h4>AI & Data | AI Insights and Engagement | Consultant / Senior Consultant</h4>
<p>Looking for a rewarding career? Take a closer look at Deloitte & Touche. When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, Best Consulting Firm, and the Middle East Training & Development Excellence Award.</p>
<h4>Our purpose</h4>
<p>Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.</p>
<p>Our shared values guide the way we behave to make a positive, enduring impact:</p>
<ul>
<li><strong>Integrity</strong></li>
<li><strong>Outstanding value to markets and clients</strong></li>
<li><strong>Commitment to each other</strong></li>
<li><strong>Strength from cultural diversity</strong></li>
</ul>
<h4>Overview</h4>
<p>During your tenure as a Consultant / Senior Consultant in the AI & Data team, you will demonstrate and develop your capabilities in the following areas:</p>
<h4>Technical capabilities:</h4>
<ul>
<li>Proficiency in programming languages such as SAS, Python, R, or Scala for data manipulation, analysis, and model development.</li>
<li>Extensive knowledge of statistical analysis and mathematical modeling techniques.</li>
<li>Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or PyTorch.</li>
<li>Strong SQL skills for data querying and database management.</li>
<li>Understanding of NLP, NLG, and GenAI techniques.</li>
<li>Familiarity with big data processing tools like Hadoop, Spark, or Apache Flink.</li>
<li>Ability to work with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.</li>
<li>Experience in using deployment techniques such as cron jobs, Docker, and Kubernetes.</li>
<li>Hands-on experience in advanced data analysis techniques to extract insights, identify trends, and solve complex business problems.</li>
<li>Develop and implement statistical models, machine learning algorithms, and data mining techniques to discover patterns and opportunities in large datasets.</li>
<li>Clean, preprocess, and manipulate raw data to ensure data integrity and accuracy.</li>
<li>Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.</li>
<li>Design and build predictive models for various business applications, such as customer segmentation, churn prediction, and demand forecasting.</li>
<li>Conduct exploratory data analysis and visualization to communicate findings and recommendations effectively.</li>
<li>Stay up-to-date with the latest advancements in data science and technology to continuously improve analytical methodologies and tools.</li>
</ul>
<h4>Functional capabilities:</h4>
<ul>
<li>Produce a high-quality work product and collaborate with others to deliver a superior client experience.</li>
<li>Understand how business functions operate and how sector trends impact a client’s business.</li>
<li>Identify opportunities to improve the efficiency and effectiveness of key processes within a business function.</li>
<li>Solid understanding of business processes and the ability to apply data science concepts to solve real-world challenges.</li>
<li>Experience with data visualization tools like Tableau, Power BI, or matplotlib to create intuitive and actionable visualizations.</li>
<li>Proficiency in data storytelling, presenting complex analysis results to non-technical stakeholders in a clear and understandable manner.</li>
<li>Knowledge of data governance and ethics, ensuring compliance with data protection and privacy regulations.</li>
<li>Strong domain knowledge in the relevant industry (e.g., banking, finance, e-commerce, retail etc.) is a plus.</li>
</ul>
<h4>Leadership capabilities:</h4>
<ul>
<li>Identify and embrace our purpose and values and put these into practice in their professional life.</li>
<li>Develop self by actively seeking opportunities for growth, share knowledge and experiences with others, and act as a strong brand ambassador.</li>
<li>Seek opportunities to challenge self; team with others across businesses and borders to deliver and take accountability for own and team results.</li>
<li>Build relationships and communicate effectively in order to positively influence peers and other stakeholders.</li>
<li>Understand objectives for clients and Deloitte, align own work to objectives and set personal priorities.</li>
<li>Excellent communication and people skills, with a strong emphasis on team working.</li>
<li>Strong administrative and numeracy skills and ability to analyze complex data with good attention to details.</li>
<li>Ability to lead and mentor junior data scientists, guiding them in their professional growth and development.</li>
<li>Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.</li>
<li>Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.</li>
<li>Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.</li>
<li>Strong business acumen, identifying opportunities where data science can drive business value and growth.</li>
</ul>
<h4>Required qualifications:</h4>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li>
<li>1-6 years of practical experience in data science or related roles.</li>
<li>Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.</li>
<li>Good command of written and spoken English.</li>
<li>Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.</li>
<li>Willingness to travel across GCC region (50-75% of time).</li>
</ul>
<h4>Additional preferred qualifications:</h4>
<ul>
<li>Experience in Big Four or Global System Integrators is a plus.</li>
<li>Arabic language is a plus.</li>
<li>Professional certification in any of the above-mentioned tools or platforms will be a plus.</li>
<li>Publications or articles on data science topics is a plus.</li>
<li>Patents on machine learning would be an added advantage.</li>
</ul></p><p></p>