Jobs For Faculty Of Commerce Graduates English in Lebanon
2390 Jobs Found
Jujule Lemonie
Lebanon
Job description
<br>Position Summary
<br>The Production & Inventory Manager is responsible for supporting the daily operations of production, inventory management, e-commerce, logistics, and retail. The role requires strong organizational skills, attention to detail, and the ability to work across different departments to ensure smooth operations.
<br>
<br>Key Responsibilities
<br>
<br>Inventory & Stock
<br>• Manage and update inventory for all Jujule Lemonie branches.
<br>• Enter all new products into Shopify inventory.
<br>• Prepare and maintain inventory tracking sheets.
<br>• Conduct regular stock checks and report discrepancies.
<br>• Visit branches once or twice per month to verify stock, review displays, and recommend replenishment when needed.
<br>
<br>Shopify & Website
<br>• Create new products on Shopify.
<br>• Upload product photos, descriptions, and pricing.
<br>• Coordinate with the Website Manager to ensure new arrivals are published accurately and on time.
<br>
<br>Quality Control
<br>• Inspect finished products before distribution.
<br>• Ensure all garments meet Jujule Lemonie's quality standards.
<br>• Report and follow up on any quality issues.
<br>
<br>Product Preparation
<br>• Barcode and price all new products. Shipping & Logistics
<br>• Print invoices for online orders.
<br>• Assist with packing merchandise for branches, exhibitions, and events.
<br>
<br>Atelier Support
<br>• Assist the production team with fabric cutting, garment finishing, and preparation when needed.
<br>• Maintain an organized atelier, ensuring fabrics, trims, buttons, and materials are properly stored.
<br>
<br>Consignment & Stock Follow-up
<br>• Maintain inventory sheets for consignment suppliers.
<br>• Update daily sales and stock records.
<br>• Monitor stock levels and inventory.
<br>
<br>Marketing Support
<br>• When needed, assist in creating photo and video content for social media.
<br>• Prepare collection lookbooks using the company's software.
<br>
<br>Photoshoots
<br>• Assist in preparing garments and accessories for photoshoots.
<br>• Assist during shoots and ensure all items are returned and accounted for afterward.
<br>
<br>Boutique Support
<br>• Assist the sales team during busy periods when required.
<br>
<br>Skills
<br>• Strong organizational and time management skills.
<br>• High attention to detail and accuracy.
<br>• Proficiency in Microsoft Excel.
<br>• Basic knowledge of Shopify is an advantage.
<br>• Ability to multitask and work under pressure.
<br>• Team player with a proactive attitude.
<br>• Interest in fashion and product management.
<br>
<br>Qualifications
<br>• Strong organizational and time management skills.
<br>• High attention to detail and accuracy.
<br>• Proficiency in Microsoft Excel.
<br>• Basic knowledge of Shopify is an advantage.
<br>• Ability to multitask and work under pressure.
<br>• Team player with a proactive attitude.
<br>• Interest in fashion and product management
Aspire Software
Lebanon - Beirut
<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes. What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods. Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions. Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers. Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback. Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements. Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools. Tech Stack Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li><li>Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul>
DHL
Lebanon - Beirut
<div ><p ><strong><span >COME JOIN THE WORLD’S MOST INTERNATIONAL COMPANY</span></strong><span ></span></p><p ><span >A company that pioneered cross-border express delivery in 1969 and is now active in more than 220 countries and territories worldwide.</span></p><p ><span >DHL Lebanon is the recognized market leader in Express logistics and an Employer of Choice – ranked consistently as Great Place to Work in Lebanon for consecutive years since 2023.</span></p><p ><span >Join DHL Express and be part of a global network built on service excellence, quality, and sustainability. Together, we connect with people and improve lives through the power of international trade—not only for our customers, but for every member of our team.</span></p><p ><span >Discover more about our culture, our people, and our purpose: <a href="https://careers.dhl.com/global/en">https://careers.dhl.com/global/en</a></span></p><p ><strong><span >ABOUT THE ROLE</span></strong></p><p ><span >We are looking for a highly analytical and commercially minded Pricing Analyst to join our Commercial team. The Pricing Analyst will support the development, implementation, and monitoring of local and MENA pricing strategies, with the objective of driving profitable and sustainable growth. Working closely with Sales and Commercial Management, the role will provide pricing expertise, commercial analysis, and actionable insights to support customer opportunities, pricing decisions, revenue growth, profitability, and customer retention. This role goes beyond reporting numbers. The successful candidate will be expected to understand what is driving business performance, identify risks and opportunities, and translate complex data into clear and practical commercial recommendations.</span></p><p ><strong><span >KEY RESPONSIBILITIES</span></strong></p><ul ><li ><span >Support the development, execution, and monitoring of local and MENA pricing strategies in line with business objectives, market conditions, and profitability requirements</span></li><li ><span >Partner with the Sales team on pricing requests, customer opportunities, tenders, rate reviews, and commercial solutions</span></li><li ><span >Balance commercial competitiveness with revenue growth, customer retention, and profitability</span></li><li ><span >Analyze customer, revenue, shipment, weight, pricing, and profitability performance to identify trends, risks, and opportunities</span></li><li ><span >Provide clear, data-driven recommendations to Commercial Management and Sales to support pricing decisions and profitable growth</span></li><li ><span >Monitor key commercial and pricing KPIs, identify performance gaps, and proactively highlight areas requiring management attention</span></li><li ><span >Prepare accurate and timely management reports, dashboards, presentations, and ad hoc commercial analysis</span></li><li ><span >Support customer and portfolio reviews by analyzing revenue development, pricing performance, shipment profiles, profitability, and business trends</span></li><li ><span >Prepare and maintain special rate tariffs and customer pricing structures, including weight-break calculations</span></li><li ><span >Ensure approved pricing actions and commercial initiatives are accurately and promptly implemented in the relevant systems</span></li><li ><span >Coordinate pricing actions for loss-making or underperforming customers in collaboration with Area Pricing, Sales Executives, and Sales Management</span></li><li ><span >Support the annual General Price Increase process, including preparation, implementation, customer database management, tracking, and performance analysis</span></li><li ><span >Prepare monthly and annual commercial performance reviews to support Sales Management, customer reviews, and business planning</span></li><li ><span >Conduct revenue, product, customer, and sales performance analysis as required by Commercial Management</span></li><li ><span >Support budgeting, forecasting, and commercial planning through the preparation and analysis of relevant data and performance files</span></li><li ><span >Monitor and analyze relevant market and competitor information to support pricing decisions and commercial planning</span></li><li ><span >Manage pricing-related requests and approvals, including applicable waivers, insurance, and other commercial pricing requirements</span></li><li ><span >Maintain high standards of data accuracy, consistency, and quality across pricing, reporting, and analytical activities</span></li><li ><span >Identify opportunities to improve and automate pricing reports, dashboards, and analytical processes</span></li><li ><span >Collaborate effectively with Sales, Finance, Customer Service, Operations, IT, Area Pricing, and other relevant stakeholders</span></li></ul><div ><font face="Delivery, sans-serif"><span ><div ><p ><strong><span >YOUR PROFILE & QUALIFICATIONS</span></strong></p><ul><li><span >Bachelor’s degree in business administration, Finance, Economics, Statistics, Data Analytics, or a related field</span></li><li><span >Previous experience in pricing, commercial analysis, sales support, business analysis, or reporting is preferred</span></li><li><span >Strong analytical and numerical skills, with the ability to interpret complex data and translate it into clear commercial insights</span></li><li><span >Advanced proficiency in Microsoft Excel, including confidence in working with large datasets and complex analysis</span></li><li><span >Strong PowerPoint and presentation skills, with the ability to prepare professional, management-level reports and presentations</span></li><li><span >Experience with Power BI, data visualization tools, and dashboard development is considered a strong advantage</span></li><li><span >Excellent written and spoken English</span></li><li><span >Strong communication and presentation skills, with the confidence to explain analysis and recommendations clearly</span></li><li><span >Strong commercial awareness and an understanding of customer, revenue, pricing, profitability, and market dynamics</span></li><li><span >High attention to detail, accuracy, and data quality</span></li><li><span >Proactive and solution-oriented, with the ability to identify issues and opportunities rather than simply report results</span></li><li><span >Strong organizational and time-management skills, with the ability to manage multiple priorities and tight deadlines</span></li><li><span >Ability to work independently while collaborating effectively with Sales, Management, and cross-functional teams</span></li><li><span >A curious and analytical mindset, with the ability to look beyond the numbers and understand what is driving business performance</span></li></ul><p><strong><span >Why Join DHL Express?</span></strong><span ></span></p><p><span >Be part of a global leader in logistics and innovation</span></p><p><span >Work on cutting-edge AI and digital transformation initiatives</span></p><p><span >Collaborative and dynamic international environment</span></p><p><span >Opportunities for growth, learning, and impact</span></p><p><strong ><span >Careers at DHL</span></strong></p><p><span >At DHL, we believe our people are our greatest asset. We are committed to building an inclusive environment where innovation, teamwork, and excellence thrive.</span></p><div><span ><br></span></div><p><span ></span></p></div></span></font></div></div>
Confidential
Lebanon - Beirut
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The Affiliate Manager will lead the planning, execution, and optimization of performance marketing campaigns across affiliate networks and direct publisher partnerships. This role is responsible for driving customer acquisition and revenue growth through data-driven strategies while ensuring accurate tracking, attribution, and campaign measurement. The ideal candidate will have hands-on experience managing both web and app-based performance campaigns, implementing tracking solutions, troubleshooting conversion discrepancies, and collaborating with internal and external stakeholders to deliver measurable business outcomes. Strong technical knowledge of Server-to-Server (S2S) postback integrations, web pixel implementation, Mobile Measurement Partners (MMPs), and analytics platforms is essential to ensure campaign scalability and reporting accuracy. The role requires experience managing campaigns across multiple commercial models, including Cost Per Install (CPI), Cost Per Lead (CPL), Cost Per Acquisition (CPA), Revenue Share (RevShare), Hybrid, and Cost Per Sale (CPS), while continuously optimizing performance against client KPIs and ROI objectives. Strong understanding of campaign models including: Cost Per Install (CPI), Cost Per Lead (CPL), Cost Per Acquisition (CPA), Cost Per Sale (CPS), Revenue Share (RevShare) Hands-on experience with Mobile Measurement Partners (MMPs) including: Adjust, AppsFlyer, Branch, Kochava Strong understanding of attribution models, click tracking, view-through attribution, and conversion measurement. Hands-on experience implementing and troubleshooting: Server-to-Server (S2S) Postback Integrations, Web Pixel Implementation, Conversion Pixels, First-party & Third-party Tracking, SDK and Deep Linking concepts, Coupon Marketing Experience working with Google Tag Manager (GTM), Google Analytics 4 (GA4), CM360, campaign tracking parameters (UTMs), and attribution reporting. Ability to QA and troubleshoot tracking implementations using browser developer tools, network requests, and debugging tools. Experience reconciling conversions across affiliate platforms, MMPs, CRM systems, and advertiser reporting. Strong analytical skills with advanced Excel/Google Sheets and reporting tools such as Lookerstudio. Experience optimizing campaigns based on KPIs including CPI, CPL, CPA, ROAS, Revenue, and Conversion Rate. Strong understanding of fraud prevention, attribution windows, deduplication logic, and tracking validation. Ability to coordinate with product, Data & analytics, ad operations, and client teams to ensure seamless campaign implementation. Excellent communication, stakeholder management, and negotiation skills. Experience in banking, e-commerce, Real estate, Automobile, lottery or lead generation verticals is preferred. Understanding of privacy regulations, consent management, and cookie-less measurement trends is an added advantage. Skills and Experience At WPP Media, we believe in the power of our culture and our people. It s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust . Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise . 4+ years of experience in Affiliate Marketing or Performance Marketing. Proven experience managing affiliate networks, direct publishers, and agency partnerships. Experience managing both Web and App Performance Marketing campaigns . Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4+ years of experience in Affiliate Marketing or Performance Marketing.</li><li>Proven experience managing affiliate networks, direct publishers, and agency partnerships.</li><li>Experience managing both Web and App Performance Marketing campaigns.</li><li>Strong technical knowledge of Server-to-Server (S2S) postback integrations, web pixel implementation, Mobile Measurement Partners (MMPs), and analytics platforms.</li><li>Experience managing campaigns across multiple commercial models, including Cost Per Install (CPI), Cost Per Lead (CPL), Cost Per Acquisition (CPA), Revenue Share (RevShare), Hybrid, and Cost Per Sale (CPS).</li><li>Hands-on experience with Mobile Measurement Partners (MMPs) including: Adjust, AppsFlyer, Branch, Kochava.</li><li>Strong understanding of attribution models, click tracking, view-through attribution, and conversion measurement.</li><li>Hands-on experience implementing and troubleshooting: Server-to-Server (S2S) Postback Integrations, Web Pixel Implementation, Conversion Pixels, First-party & Third-party Tracking, SDK and Deep Linking concepts, Coupon Marketing.</li><li>Experience working with Google Tag Manager (GTM), Google Analytics 4 (GA4), CM360, campaign tracking parameters (UTMs), and attribution reporting.</li><li>Ability to QA and troubleshoot tracking implementations using browser developer tools, network requests, and debugging tools.</li><li>Experience reconciling conversions across affiliate platforms, MMPs, CRM systems, and advertiser reporting.</li><li>Strong analytical skills with advanced Excel/Google Sheets and reporting tools such as Lookerstudio.</li><li>Experience optimizing campaigns based on KPIs including CPI, CPL, CPA, ROAS, Revenue, and Conversion Rate.</li><li>Strong understanding of fraud prevention, attribution windows, deduplication logic, and tracking validation.</li><li>Ability to coordinate with product, Data & analytics, ad operations, and client teams to ensure seamless campaign implementation.</li><li>Excellent communication, stakeholder management, and negotiation skills.</li><li>Experience in banking, e-commerce, Real estate, Automobile, lottery or lead generation verticals is preferred.</li><li>Understanding of privacy regulations, consent management, and cookie-less measurement trends is an added advantage.</li></ul><p></p></section>
Valsoft Corporation
Lebanon - Beirut
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>
Confidential
Lebanon - Beirut
<p><h4>About the company</h4>
<p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p>
<h4>About the job</h4>
<p>We are looking for a senior machine learning engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p>
<h4>What you'll work on</h4>
<ul>
<li><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li>
<li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li>
<li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li>
<li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li>
<li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li>
<li><strong>Data and intelligent experiences:</strong> Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li>
</ul>
<h4>Tech stack</h4>
<ul>
<li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li>
<li>PostgreSQL/Supabase and Redis</li>
<li>Pandas, Polars, NumPy, and statsmodels</li>
<li>OpenAI, Anthropic, LangChain, and LangGraph</li>
<li>PredictHQ and multiple hotel PMS and market-data integrations</li>
<li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li>
<li>Docker, GitHub Actions, Prometheus, and PostHog</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li>
<li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li>
<li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li>
<li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li>
<li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li>
<li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li>
<li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li>
<li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li>
<li>The judgment to balance model sophistication with reliability, explainability, and business value.</li>
<li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li>
<li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li>
<li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li>
<li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li>
</ul>
<h4>Nice to have</h4>
<p>You do not need everything on this list:</p>
<ul>
<li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li>
<li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li>
<li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li>
<li>Causal inference and off-policy evaluation.</li>
<li>Model drift, data-quality monitoring, and experiment-tracking systems.</li>
<li>Multi-tenant SaaS or event-driven architectures.</li>
<li>Debugging distributed systems and third-party integrations in production.</li>
<li>LLM applications and agentic workflows.</li>
<li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li>
<li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li>
</ul>
<h4>What we value</h4>
<ul>
<li>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li>
<li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li>
<li>Ownership — pick up a problem and drive it to completion without hand-holding.</li>
<li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li>
<li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li>
</ul></p><p></p>
Aspire Software
Lebanon - Beirut
<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p><p>What You'll Work On</p><ul><li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li><li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li><li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li><li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li><li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li><li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li></ul><p>Tech Stack</p><ul><li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li><li>PostgreSQL/Supabase and Redis</li><li>Pandas, Polars, NumPy, and statsmodels</li><li>OpenAI, Anthropic, LangChain, and LangGraph</li><li>PredictHQ and multiple hotel PMS and market-data integrations</li><li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li><li>Docker, GitHub Actions, Prometheus, and PostHog</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li></ul><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li></ul>
Lebanon - Mount Lebanon
<p><h4>Read this part first<\/h4>\n<p>We are not hiring someone to keep the trains running. We have people for that.<br>\nWe are hiring the person who decides which trains we should be running at all \u2014 and then builds the track.<\/p>\n<p>The company helps consumer brands win on Amazon. We're growing, we're launching new offers, and we're at the point where the ceiling isn't demand \u2014 it's infrastructure. Our CEO has more good ideas than there are hours to execute them. This role exists to close that gap.<\/p>\n<p>If your instinct when handed a messy problem is to disappear for two days, research it properly, and come back with three options and a recommendation \u2014 keep reading. If your instinct is to ask what the priority is, this isn't your role.<\/p>\n\n<h4>What you'll own<\/h4>\n<p>You'll own four areas. You will not personally execute every task inside them \u2014 but you will own the outcome, design the strategy, find the right people or tools, and drive it to done.<\/p>\n<ol>\n<li><strong>Brand growth<\/strong><br>\nBuild and run the engine that brings Amazon brands to us \u2014 outbound, partnerships, referrals, whatever proves out.<br>\nTest acquisition channels, measure honestly, kill what doesn't work.<br>\nOwn the pipeline from first touch through signed client.<\/li>\n<li><strong>Systems, AI & internal infrastructure<\/strong><br>\nDesign the operating system of the business: workflows, SOPs, dashboards, handoffs.<br>\nBuild AI-powered automations that replace manual work \u2014 not pilots, production systems people actually use.<br>\nChoose the stack, implement it, get the team to adopt it.<\/li>\n<li><strong>Marketing initiatives<\/strong><br>\nTest new channels and formats; source, brief, and manage vendors and freelancers.<br>\nTurn CEO ideas into scoped, resourced, launched campaigns.<br>\nReport on what moved the number and what didn't.<\/li>\n<li><strong>Brand & visibility<\/strong><br>\nGrow the company's presence and the CEO's personal brand across the channels that matter for an Amazon audience.<br>\nBuild the content and distribution systems that make visibility repeatable, not sporadic.<\/li>\n<\/ol>\n\n<h4>Requirements<\/h4>\n<h4>Who you are<\/h4>\n<p>You've done senior operations work \u2014 and it involved building, not just maintaining. You've created workflows, processes, automations, and systems that outlasted you. You can point to the machine you built and how it changed the business.<\/p>\n<p>You use AI every day and you build with it. Not \"I've used ChatGPT.\" You've built agents, automations, and workflows that do real work in a real business. You should be able to teach our CEO something, not the other way around.<\/p>\n<p>You come from a digital marketing or agency environment. You've been inside the operations of a services business that had to grow \u2014 and you were close enough to growth to know what actually generates revenue.<\/p>\n<p>You think strategically without being asked to. Handed a problem, you research it independently and return with multiple well-reasoned options. You do not wait for instructions. You do not come back with \"what do you want me to do?\"<\/p>\n<p>You're resourceful about execution. When something is outside your skill set, you find the right freelancer, tool, or agency, brief them properly, and hold them to the outcome.<\/p>\n\n<h4>Nice to have<\/h4>\n<ul>\n<li>Amazon marketplace or e-commerce experience<\/li>\n<li>Client success or account management background<\/li>\n<li>Paid media, funnels, or email sequences (Meta, Google, Klaviyo)<\/li>\n<li>CRM ownership (HubSpot, Salesforce, GoHighLevel)<\/li>\n<li>Built and led a small team or contractor bench<\/li>\n<\/ul>\n\n<h4>This role is not for you if<\/h4>\n<p>You need daily direction \u00b7 You think operations means admin and calendars \u00b7 You've used AI but never built anything with it \u00b7 You've only worked in structured corporate environments \u00b7 You wait for permission \u00b7 You'd rather perfect a process than start one \u00b7 You go quiet when something is ambiguous<\/p>\n\n<h4>What success looks like<\/h4>\n<p><strong>First 30 days<\/strong> \u2014 You've audited every system, tool, vendor, and workflow in the business. You've met the team. You've identified the three biggest bottlenecks and brought the CEO a recommendation on each.<\/p>\n<p><strong>First 60 days<\/strong> \u2014 At least two AI-driven automations are live and in daily use. The client acquisition pipeline is documented, tracked, and has measurable activity. Core processes are in writing.<\/p>\n<p><strong>First 90 days<\/strong> \u2014 You're running your four areas without needing sign-off on day-to-day calls. There is a working acquisition motion with real numbers attached. The CEO is spending meaningfully less time on execution and more on vision \u2014 because you absorbed the gap.<\/p><\/p><p><\/p>
Lebanon - Mount Lebanon
<p><h4>Read this part first<\/h4>\n<p>We are not hiring someone to keep the trains running. We have people for that.<br>\nWe are hiring the person who decides which trains we should be running at all \u2013 and then builds the track.<\/p>\n<p>The company helps consumer brands win on Amazon. We're growing, we're launching new offers, and we're at the point where the ceiling isn't demand \u2013 it's infrastructure. Our CEO has more good ideas than there are hours to execute them. This role exists to close that gap.<\/p>\n<p>If your instinct when handed a messy problem is to disappear for two days, research it properly, and come back with three options and a recommendation \u2013 keep reading. If your instinct is to ask what the priority is, this isn't your role.<\/p>\n\n<h4>What you'll own<\/h4>\n<p>You'll own four areas. You will not personally execute every task inside them \u2013 but you will own the outcome, design the strategy, find the right people or tools, and drive it to done.<\/p>\n\n<p><strong>1. Brand growth<\/strong><br>\nBuild and run the engine that brings Amazon brands to us \u2013 outbound, partnerships, referrals, whatever proves out.<br>\nTest acquisition channels, measure honestly, kill what doesn't work.<br>\nOwn the pipeline from first touch through signed client.<\/p>\n\n<p><strong>2. Systems, AI & internal infrastructure<\/strong><br>\nDesign the operating system of the business: workflows, SOPs, dashboards, handoffs.<br>\nBuild AI-powered automations that replace manual work \u2013 not pilots, production systems people actually use.<br>\nChoose the stack, implement it, get the team to adopt it.<\/p>\n\n<p><strong>3. Marketing initiatives<\/strong><br>\nTest new channels and formats; source, brief, and manage vendors and freelancers.<br>\nTurn CEO ideas into scoped, resourced, launched campaigns.<br>\nReport on what moved the number and what didn't.<\/p>\n\n<p><strong>4. Brand & visibility<\/strong><br>\nGrow the company's presence and the CEO's personal brand across the channels that matter for an Amazon audience.<br>\nBuild the content and distribution systems that make visibility repeatable, not sporadic.<\/p>\n\n<h4>Requirements<\/h4>\n<h4>Who you are<\/h4>\n<p>You've done senior operations work \u2013 and it involved building, not just maintaining. You've created workflows, processes, automations, and systems that outlasted you. You can point to the machine you built and how it changed the business.<\/p>\n<p>You use AI every day and you build with it. Not \"I've used ChatGPT.\" You've built agents, automations, and workflows that do real work in a real business. You should be able to teach our CEO something, not the other way around.<\/p>\n<p>You come from a digital marketing or agency environment. You've been inside the operations of a services business that had to grow \u2013 and you were close enough to growth to know what actually generates revenue.<\/p>\n<p>You think strategically without being asked to. Handed a problem, you research it independently and return with multiple well-reasoned options. You do not wait for instructions. You do not come back with \"what do you want me to do?\"<\/p>\n<p>You're resourceful about execution. When something is outside your skill set, you find the right freelancer, tool, or agency, brief them properly, and hold them to the outcome.<\/p>\n\n<h4>Nice to have<\/h4>\n<ul>\n<li>Amazon marketplace or e-commerce experience<\/li>\n<li>Client success or account management background<\/li>\n<li>Paid media, funnels, or email sequences (Meta, Google, Klaviyo)<\/li>\n<li>CRM ownership (HubSpot, Salesforce, GoHighLevel)<\/li>\n<li>Built and led a small team or contractor bench<\/li>\n<\/ul>\n\n<h4>This role is not for you if<\/h4>\n<ul>\n<li>You need daily direction<\/li>\n<li>You think operations means admin and calendars<\/li>\n<li>You've used AI but never built anything with it<\/li>\n<li>You've only worked in structured corporate environments<\/li>\n<li>You wait for permission<\/li>\n<li>You'd rather perfect a process than start one<\/li>\n<li>You go quiet when something is ambiguous<\/li>\n<\/ul>\n\n<h4>What success looks like<\/h4>\n<p><strong>First 30 days<\/strong> \u2013 You've audited every system, tool, vendor, and workflow in the business. You've met the team. You've identified the three biggest bottlenecks and brought the CEO a recommendation on each.<\/p>\n<p><strong>First 60 days<\/strong> \u2013 At least two AI-driven automations are live and in daily use. The client acquisition pipeline is documented, tracked, and has measurable activity. Core processes are in writing.<\/p>\n<p><strong>First 90 days<\/strong> \u2013 You're running your four areas without needing sign-off on day-to-day calls. There is a working acquisition motion with real numbers attached. The CEO is spending meaningfully less time on execution and more on vision \u2013 because you absorbed the gap.<\/p><\/p><p><\/p>
Lebanon - Mount Lebanon
<p><h4>Read this part first<\/h4>\n<p>We are not hiring someone to keep the trains running. We have people for that.<br>\nWe are hiring the person who decides which trains we should be running at all \u2014 and then builds the track.<\/p>\n<p>The company helps consumer brands win on Amazon. We're growing, we're launching new offers, and we're at the point where the ceiling isn't demand \u2014 it's infrastructure. Our CEO has more good ideas than there are hours to execute them. This role exists to close that gap.<\/p>\n<p>If your instinct when handed a messy problem is to disappear for two days, research it properly, and come back with three options and a recommendation \u2014 keep reading. If your instinct is to ask what the priority is, this isn't your role.<\/p>\n\n<h4>What you'll own<\/h4>\n<p>You'll own four areas. You will not personally execute every task inside them \u2014 but you will own the outcome, design the strategy, find the right people or tools, and drive it to done.<\/p>\n<ol>\n <li><strong>Brand growth<\/strong><br>\n Build and run the engine that brings Amazon brands to us \u2014 outbound, partnerships, referrals, whatever proves out.<br>\n Test acquisition channels, measure honestly, kill what doesn't work.<br>\n Own the pipeline from first touch through signed client.\n <\/li>\n <li><strong>Systems, AI & internal infrastructure<\/strong><br>\n Design the operating system of the business: workflows, SOPs, dashboards, handoffs.<br>\n Build AI-powered automations that replace manual work \u2014 not pilots, production systems people actually use.<br>\n Choose the stack, implement it, get the team to adopt it.\n <\/li>\n <li><strong>Marketing initiatives<\/strong><br>\n Test new channels and formats; source, brief, and manage vendors and freelancers.<br>\n Turn CEO ideas into scoped, resourced, launched campaigns.<br>\n Report on what moved the number and what didn't.\n <\/li>\n <li><strong>Brand & visibility<\/strong><br>\n Grow the company's presence and the CEO's personal brand across the channels that matter for an Amazon audience.<br>\n Build the content and distribution systems that make visibility repeatable, not sporadic.\n <\/li>\n<\/ol>\n\n<h4>Requirements<\/h4>\n<h4>Who you are<\/h4>\n<p>You've done senior operations work \u2014 and it involved building, not just maintaining. You've created workflows, processes, automations, and systems that outlasted you. You can point to the machine you built and how it changed the business.<\/p>\n<p>You use AI every day and you build with it. Not \"I've used ChatGPT.\" You've built agents, automations, and workflows that do real work in a real business. You should be able to teach our CEO something, not the other way around.<\/p>\n<p>You come from a digital marketing or agency environment. You've been inside the operations of a services business that had to grow \u2014 and you were close enough to growth to know what actually generates revenue.<\/p>\n<p>You think strategically without being asked to. Handed a problem, you research it independently and return with multiple well-reasoned options. You do not wait for instructions. You do not come back with \"what do you want me to do?\"<\/p>\n<p>You're resourceful about execution. When something is outside your skill set, you find the right freelancer, tool, or agency, brief them properly, and hold them to the outcome.<\/p>\n\n<h4>Nice to have<\/h4>\n<ul>\n <li>Amazon marketplace or e-commerce experience<\/li>\n <li>Client success or account management background<\/li>\n <li>Paid media, funnels, or email sequences (Meta, Google, Klaviyo)<\/li>\n <li>CRM ownership (HubSpot, Salesforce, GoHighLevel)<\/li>\n <li>Built and led a small team or contractor bench<\/li>\n<\/ul>\n\n<h4>This role is not for you if<\/h4>\n<ul>\n <li>You need daily direction<\/li>\n <li>You think operations means admin and calendars<\/li>\n <li>You've used AI but never built anything with it<\/li>\n <li>You've only worked in structured corporate environments<\/li>\n <li>You wait for permission<\/li>\n <li>You'd rather perfect a process than start one<\/li>\n <li>You go quiet when something is ambiguous<\/li>\n<\/ul>\n\n<h4>What success looks like<\/h4>\n<p><strong>First 30 days<\/strong> \u2014 You've audited every system, tool, vendor, and workflow in the business. You've met the team. You've identified the three biggest bottlenecks and brought the CEO a recommendation on each.<\/p>\n<p><strong>First 60 days<\/strong> \u2014 At least two AI-driven automations are live and in daily use. The client acquisition pipeline is documented, tracked, and has measurable activity. Core processes are in writing.<\/p>\n<p><strong>First 90 days<\/strong> \u2014 You're running your four areas without needing sign-off on day-to-day calls. There is a working acquisition motion with real numbers attached. The CEO is spending meaningfully less time on execution and more on vision \u2014 because you absorbed the gap.<\/p><\/p><p><\/p>
Client of hirelebanese
Lebanon - Mount Lebanon
<p><b>Responsibilities & Duties:</b></p><ul><li>1. Greets & takes customer orders with appropriate friendly telephone manner</li><li>2. Provides exceptional customer service</li><li>3. Receives and reports any customer complaints in a professional manner</li></ul><p>Qualifications and Skills:</p><ul><li>High school diploma or equivalent</li><li>Proficient in relevant computer applications</li><li>Ability to multi-task, set priorities and manage time effectively</li><li>Superior listening, verbal, and written communication skills</li><li>Ability to handle stressful situation appropriately</li><li>Good Arabic and English typing skills</li><li>Good language skills (Arabic, English)</li></ul><p><strong>Desired Candidate Profile</strong></p>High school diploma or equivalent <br> Proficient in relevant computer applications <br> Ability to multi-task, set priorities and manage time effectively <br> Superior listening, verbal, and written communication skills <br> Ability to handle stressful situation appropriately<br> Good Arabic and English typing skills <br> Good language skills (Arabic, English)
Confidential
Lebanon - Mount Lebanon
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Driver is needed for a family in Beirut</p><p><br></p><p>- Age 27 to 40 years old</p><p>- Experience as driver</p><p>- Good English language</p><p>- Lives in Beirut</p><p>- Non smoker</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Age 27 to 40 years old</p><p>Experience as driver</p><p>Good English language</p><p>Lives in Beirut</p><p>Non smoker</p><p></p></section>
Kidwise Academy
Lebanon - Mount Lebanon
<p>Kidwise Academy, located in Haret Sakher, is seeking a qualified and experienced English Teacher to join our educational team.</p><p><br></p><p>Requirements:</p><p><br></p><p>* Bachelor’s degree in English Literature</p><p>* Previous teaching experience</p><p>* Strong communication and teaching skills</p><p>* Availability Monday to Friday from 3:30 PM till 7:30 PM</p><p><br></p><p>Job Type: Part-time</p><p>Location: Haret Sakher</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in English Literature</li><li>Previous teaching experience</li><li>Strong communication and teaching skills</li><li>Availability Monday to Friday from 3:30 PM till 7:30 PM</li></ul>
Confidential
Lebanon - Beirut
Qualifications and Skills:
<br>• High school diploma or equivalent
<br>• Proficient in relevant computer applications
<br>• Ability to multi-task, set priorities and manage time effectively
<br>• Superior listening, verbal, and written communication skills
<br>• Ability to handle stressful situation appropriately
<br>• Good Arabic and English typing skills
<br>• Good language skills (Arabic, English)
Spectra Solutions
Lebanon - Beirut
We are looking for a professional and well-organized Executive Assistant with excellent English communication skills and strong computer knowledge. The ideal candidate should be reliable, detail-oriented, and able to manage tasks efficiently in a fast-paced environment.
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<br>Requirements:
<br>
<br>Excellent written and spoken English.
<br>
<br>Strong computer skills.
<br>
<br>Professional and positive attitude
Confidential
Lebanon - Beirut
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Lancaster Eden Bay is looking for A front Office Bellboy. The candidate will assist guest with their luggage and maintain a professional and friendly attitude at all times.</p><p><br></p><p>Previous experience is needed. English is a must, French is a plus.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience is needed. English is a must, French is a plus.</p><p></p></section>
Medatco
Lebanon - Beirut
<p><b>Full time female Medical Representative for Maten and Achrafieh needed for a pharmaceutical company in Beirut, Badaro.</b></p><p><br></p><p>Requires:</p><p>Hard working</p><p>Good communication skills</p><p>Presentable</p><p>Fluent in english and Arabic</p><p>Quick leaner</p><p>Sociable</p><p>Good Persuasive skills</p><p>Strong personality</p><p>Responsible</p><p>Organized</p><p>Work good under pressure</p><p>Takes responsibility</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Hard working</li><li>Good communication skills</li><li>Presentable</li><li>Fluent in english and Arabic</li><li>Quick leaner</li><li>Sociable</li><li>Good Persuasive skills</li><li>Strong personality</li><li>Responsible</li><li>Organized</li><li>Work good under pressure</li><li>Takes responsibility</li><li>Candidate must have a car.</li></ul>
Confidential
Lebanon - Mount Lebanon
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A Pharmaceutical company is recruiting a Medical Representative to cover all Lebanon</p><p>Job Requirements:</p><p>-A Scientific background is mandatory (Preferably Pharmacist, or Biology, Chemistry, Biochemistry...)</p><p>- Motorized (The candidate should have his/her own car)</p><p>- Fluent in English & French</p><p>- 2+ years of experience</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>-A Scientific background is mandatory (Preferably Pharmacist, or Biology, Chemistry, Biochemistry...)</p><p>- Motorized (The candidate should have his/her own car)</p><p>- Fluent in English & French</p><p>- 2+ years of experience</p><p></p></section>
Confidential
Lebanon
We are looking for a Bridal Female Indoor Sales Consultant for a Luxury Women’s Fashion Boutique in Dbayeh
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<br>• Work Schedule: Full-time, from 10:00 AM to 7:00 PM
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<br>Requirements:
<br>• Proven experience in fashion retail, preferably in luxury women’s fashion
<br>• Strong sales and customer service skills
<br>• Presentable with very good communication skills
<br>• Fluent in both Arabic and English.
<br>
<br>Salary: Between USD 1,200 and 1,500 + Attractive commission
Confidential
Lebanon - Mount Lebanon
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Beirut Area- Cornich Mazraa</p><p><br></p><p>Looking for a female Operation Admin to manage import export and operation administration for a company in Beirut.</p><p><br></p><p>Minimum of 2 years' experience in the field. Must have experience in import export business. fluent English Arabic. Computer literate, Email, Word, Excel.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum of 2 years' experience in the field. Must have experience in import export business. fluent English Arabic. Computer literate, Email, Word, Excel.</p><p></p></section>