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assistant/ associate professor - data science and artificial intelligence Jobs in Doha

assistant/ associate professor - data science and artificial intelligence

business intelligence analyst Jobs in Doha

business intelligence analyst

data scientist

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 <strong>
  Our Purpose -
 </strong>
 <strong>
  Bridging the World Through Travel
  <br/>
  <br/>
 </strong>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 <br/>
 <br/>
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 <strong>
  Get to Know Our Team
  <br/>
  <br/>
 </strong>
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 <strong>
  Please note -The role will be based in Bangkok.
  <br/>
  <br/>
 </strong>
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 <br/>
 <br/>
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 <br/>
 <br/>
 <strong>
  In This Role, You&rsquo;ll Get to
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
  </li>
  <li>
   Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
  </li>
  <li>
   Work with developers and a variety of business owners to deliver daily results with the best quality.
  </li>
  <li>
   Research discover and harness new ideas that can make a difference
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years hands-on data science experience.
  </li>
  <li>
   Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
  </li>
  <li>
   Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
  </li>
  <li>
   Can lead, work independently as well as play a key role in a team.
  </li>
  <li>
   Good communication and interpersonal skills for working in a multicultural work environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s Great if You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  </li>
  <li>
   Experience in NLP, image processing and/or recommendation systems
  </li>
  <li>
   Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  </li>
  <li>
   Experience in data science for e-commerce and/or OTA
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
  <br/>
  <br/>
 </em>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester  #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 <br/>
 <br/>
</div>


Senior Data Scientist (Bangkok based, relocation provided)

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 Our Purpose - Bridging the World Through Travel
 <br/>
 <br/>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 Get to Know Our TeamThe Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 <br/>
 <br/>
 The Opportunity
 <br/>
 <br/>
 Please note -The role will be based in Bangkok.
 <br/>
 <br/>
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 <br/>
 <br/>
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 <br/>
 <br/>
 In This Role, You&rsquo;ll Get to
 <br/>
 <br/>
 <ul>
  <li>
   Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
  </li>
  <li>
   Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
  </li>
  <li>
   Work with developers and a variety of business owners to deliver daily results with the best quality
  </li>
  <li>
   Research discover and harness new ideas that can make a difference
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 <br/>
 <br/>
 <ul>
  <li>
   4+ years hands-on data science experience
  </li>
  <li>
   Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
  </li>
  <li>
   Significant proficiency in SQL and languages like Python, PySpark and/or Scala
  </li>
  <li>
   Can lead, work independently as well as play a key role in a team
  </li>
  <li>
   Good communication and interpersonal skills for working in a multicultural work environment
   <br/>
   <br/>
  </li>
 </ul>
 It&rsquo;s Great if You Have
 <br/>
 <br/>
 <ul>
  <li>
   PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  </li>
  <li>
   Experience in NLP, image processing and/or recommendation systems
  </li>
  <li>
   Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  </li>
  <li>
   Experience in data science for e-commerce and/or OTA
   <br/>
   <br/>
  </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 <br/>
 <br/>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester  #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 <br/>
 <br/>
 Equal Opportunity Employer
 <br/>
 <br/>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 Disclaimer
 <br/>
 <br/>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 <br/>
 <br/>
</div>


Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Arab Solutions

<div>
 Microsoft Power BI &amp; Data Engineer
 <br/>
 <br/>
 Role Overview
 <br/>
 <br/>
 We are seeking an experienced
 <strong>
  Data Engineer
 </strong>
 with expertise in
 <strong>
  Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric
 </strong>
 to join our growing data engineering team. The ideal candidate will design, build, and optimize
 <strong>
  data pipelines, data lakes, and data warehouses
 </strong>
 on Azure to empower data scientists, analysts, and business stakeholders.
 <br/>
 <br/>
 This role involves leveraging
 <strong>
  ADF for ETL processes, Synapse for analytics, and Microsoft Fabric for modern data workflows
 </strong>
 to deliver scalable, secure, and efficient data solutions.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 Data Engineering &amp; Integration
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy ETL pipelines using Azure Data Factory (ADF).
  </li>
  <li>
   Integrate ADF with external sources (SQL, NoSQL, REST APIs, flat files, Azure Blob, Data Lake).
  </li>
  <li>
   Implement data validation, transformation rules, and error handling within pipelines.
  </li>
  <li>
   Automate data movement and orchestration across storage, databases, and analytics platforms.
  </li>
  <li>
   Use Mapping Data Flows for advanced transformations and aggregations.
   <br/>
   <br/>
  </li>
 </ul>
 Data Warehousing &amp; Analytics
 <br/>
 <br/>
 <ul>
  <li>
   Build and manage data lakes and warehouses on Azure Synapse Analytics.
  </li>
  <li>
   Design serverless SQL pools, Spark pools, and data integration pipelines in Synapse Studio.
  </li>
  <li>
   Optimize Synapse performance for batch processing and real-time analytics.
  </li>
  <li>
   Develop OLAP and OLTP data models for reporting and exploration.
   <br/>
   <br/>
  </li>
 </ul>
 Microsoft Fabric Workflows
 <br/>
 <br/>
 <ul>
  <li>
   Implement Microsoft Fabric for end-to-end data integration across Azure services.
  </li>
  <li>
   Leverage Fabric&rsquo;s Lakehouses, Warehouses, and Data Pipelines for analytics and AI-driven insights.
  </li>
  <li>
   Enable collaborative workflows across data engineering, data science, and BI teams.
  </li>
  <li>
   Build self-service BI solutions within Fabric to empower business users.
   <br/>
   <br/>
  </li>
 </ul>
 Cloud Architecture, Governance &amp; Security
 <br/>
 <br/>
 <ul>
  <li>
   Design cloud-native architectures for scalable and cost-effective data systems.
  </li>
  <li>
   Ensure data governance, security, and compliance (GDPR, CCPA).
  </li>
  <li>
   Implement RBAC, encryption, and Azure Purview for data cataloging, lineage, and auditing.
  </li>
  <li>
   Optimize data storage, compute resources, and ensure high availability.
   <br/>
   <br/>
  </li>
 </ul>
 Automation &amp; DevOps
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Azure Pipelines.
  </li>
  <li>
   Automate workflows with Azure Logic Apps and Power Automate.
  </li>
  <li>
   Monitor and troubleshoot pipeline performance to minimize downtime.
  </li>
  <li>
   Continuously improve data engineering processes for automation, scalability, and maintainability.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration &amp; Reporting
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with cross-functional teams including data scientists, analysts, and business stakeholders.
  </li>
  <li>
   Provide Power BI integration for advanced dashboards and reporting.
  </li>
  <li>
   Support AI/ML workflows using Azure Machine Learning when required.
  </li>
  <li>
   Report to the Project Manager and execute assigned data engineering tasks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   6+ years of hands-on experience in data engineering and cloud data architecture.
  </li>
  <li>
   Strong expertise in:
  </li>
  <ul>
   <li>
    Azure Data Factory (ADF) &ndash; ETL and pipelines
   </li>
   <li>
    Azure Synapse Analytics &ndash; data lakes, warehouses, modeling, analytics
   </li>
   <li>
    Microsoft Fabric &ndash; data integration, lakehouses, warehouses, and collaborative workflows
   </li>
  </ul>
  <li>
   Proficiency in SQL / T-SQL and Azure SQL Database.
  </li>
  <li>
   Knowledge of Azure Blob, Data Lake, and Azure SQL storage.
  </li>
  <li>
   Experience with Hadoop, Spark, Databricks within Azure ecosystems.
  </li>
  <li>
   Familiarity with DevOps practices, CI/CD pipelines, and automation.
  </li>
  <li>
   Strong background in data governance, quality, and security in cloud environments.
  </li>
  <li>
   Exposure to Power BI, Azure ML, or other BI/AI tools (preferred).
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Certifications (Not Mandatory)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Microsoft Certified: Azure Data Engineer Associate
  </li>
  <li>
   Microsoft Certified: Azure Synapse Analytics
  </li>
  <li>
   Microsoft Certified: Azure AI Engineer Associate
  </li>
  <li>
   Microsoft Certified: Azure Solutions Architect Expert
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 📌
 <strong>
  Location
 </strong>
 : Onsite/Hybrid (as per project requirement)
 <br/>
 <br/>
 📌
 <strong>
  Reporting To
 </strong>
 : Project Manager
 <br/>
 <br/>
 📌
 <strong>
  Work Schedule
 </strong>
 : Standard office hours (flexibility as per project needs)
 <br/>
 <br/>
 Skills: azure,power bi,transact-sql (t-sql),data lake,adf,ai/ml,cloud architecture,rbac,olap,etl pipelines
</div>


Microsoft Power Bi And Data scientist Engineer

RP International

<div>
 <p>
  We are looking for a skilled Statistician Consultants to support our client in applying advanced statistical methods to solve complex business challenges. The role involves analyzing large datasets, designing models, and providing actionable insights that drive data-informed decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <ul>
  <li>
   Apply statistical techniques to analyze data and identify trends, patterns, and correlations.
  </li>
  <li>
   Design experiments, surveys, and sampling methodologies to support research and business needs.
  </li>
  <li>
   Build predictive and inferential models to address client challenges.
  </li>
  <li>
   Translate complex statistical findings into clear, practical recommendations.
  </li>
  <li>
   Work closely with cross-functional teams to deliver consulting projects.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   Strong academic and professional background in Statistics, Mathematics, or a related field.
  </li>
  <li>
   Proficiency in statistical tools and programming languages (e.g., R, Python, SAS, SPSS).
  </li>
  <li>
   Experience in data visualization and reporting (e.g., Power BI, Tableau).
  </li>
  <li>
   Excellent communication skills in Arabic and English, with the ability to explain technical concepts to non-technical stakeholders.
  </li>
  <li>
   Previous consulting or client-facing experience is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a 6-month fixed-term contract
 </p>
</div>


Statistician Consultant

JOB HUB GLOBAL

<p><b>Data Engineer &ndash; SQL</b></p><p><b>Location:</b> Doha, Qatar<br/><b>Salary:</b> QAR 12,000-15,000 (Full Package)<br/><b>Contract:</b> 6 Months (Extendable)</p><p><b>About the Role</b></p><p>Our client, a leading <b>multinational technology company</b>, is seeking a skilled <b>Data Engineer &ndash; SQL</b> to join their team in Doha. This role requires strong expertise in <b>T-SQL scripting, database optimization, and performance tuning</b> within <b>Microsoft Azure SQL and SQL Server</b> environments. The ideal candidate will have a proven track record in ensuring high-performing databases and supporting business-critical systems.</p><p><b>Key Responsibilities</b></p><ul><li>Design, maintain, and optimize databases in <b>Azure SQL and SQL Server</b>.</li><li>Write, refine, and troubleshoot advanced <b>T-SQL queries, stored procedures, and functions</b>.</li><li>Analyze execution plans, implement indexing strategies, and resolve performance bottlenecks.</li><li>Ensure data accuracy by validating query outputs against business requirements.</li><li>Manage <b>backups, security configurations, and user access controls</b>.</li><li>Leverage <b>Power BI</b> for data analysis and reporting.</li><li>Document database structures, configurations, and performance improvements.</li><li>Set up and maintain monitoring and alerting tools for proactive database management.</li><li>Implement security and compliance measures across database environments.</li><li>Collaborate with developers, analysts, and stakeholders for seamless integration.</li><li>Use <b>Git &amp; Azure DevOps</b> for version control and best practices in development.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in computer science or a related field.</li><li>5&ndash;6 years of <b>SQL development experience</b> with advanced T-SQL and performance tuning.</li><li>Proficiency in <b>Azure SQL and SQL Server administration</b>.</li><li>Strong ability to debug and optimize complex queries and functions.</li><li>Experience using <b>Git for source control</b> and team collaboration.</li><li>Attention to detail and commitment to clear documentation.</li><li><b>Basic reading and understanding of Arabic is preferred.</b></li></ul><p><b>Why Join?</b></p><ul><li>Opportunity to work with a prestigious multinational technology company.</li><li>Exposure to cutting-edge data technologies in a global environment.</li><li>Competitive package: <b>QAR 12,000-15,000 (all-inclusive)</b>.</li><li>Potential for contract extension.</li></ul><p><b>Important.</b></p><p><i><b>Applicants must answer the pre-screening questions to be considered for this position.</b></i></p><p><i><b>THOSE WHO CAN JOIN IMMEDIATELY SHOULD APPLY. REGRETTABLY ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED</b></i></p><p><b>About Job Hub Global</b></p><p>At <b>Job Hub Global</b>, we believe that people are at the heart of every great organization. As a <b>premier HR consultancy</b>, we are passionate about helping businesses thrive by providing <b>bespoke recruitment</b>, <b>staff outsourcing</b>, <b>workforce solutions</b>, and <b>HR management consultancy</b> services that are tailored to meet your unique needs.</p><p>With a deep understanding of the evolving workplace, we are committed to connecting exceptional talent with exceptional companies. Our mission is to empower businesses with the right people, processes, and strategies to drive success. Whether you&rsquo;re looking to build a high-performing team, streamline your workforce, or navigate the complexities of HR management, <b>Job Hub Global</b> is here to partner with you every step of the way.</p><p><i><b>Together, we&rsquo;ll turn challenges into opportunities and dreams into achievements. Your success is our business.</b></i></p><p>Job Types: Full-time, Contract<br/>Contract length: 6 months</p><p>Pay: QAR15,000.00 - QAR17,000.00 per month</p><p>Application Question(s):</p><ul><li>Do you have 5&ndash;6 years of experience in SQL development, with strong expertise in T-SQL scripting and performance tuning?</li><li>Are you proficient in Microsoft Azure SQL and SQL Server administration?</li><li>Do you have hands-on experience with query optimization, indexing strategies, and troubleshooting complex queries?</li><li>This role requires collaboration using Git and Azure DevOps. Do you have practical experience with these tools?</li><li>The offered salary is between QAR 12,000 and QAR 15,000 (full package). Do you accept this compensation?</li></ul>

Data Engineer – SQL

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Manager Data Science | Revenue Management
</div></div><div><div>Ref #
</div><div>225623
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 30-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role</b></p>
<p>Welcome to a world where ambition propels success!</p>
<p>We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha</p>
<p>In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.</p>
<p>You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.</p>
<p>Specific responsibilities include:</p>
<ul><li>Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities</li>
<li>Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.</li>
<li>Collaborate with business and technology partners across various departments to deploy AI &amp; ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques</li>
<li>Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric</li>
<li>Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.</li>
<li>Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.</li>
<li>Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.</li>
<li>Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines</li>
<li>Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.</li>
<li>Coach and mentor team members for their development and successful project delivery</li>
<li>Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.</li>
</ul><p></p><p><b>Be part of an extraordinary story</b></p>
<p>Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p>
<p>Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p>
<p>Together, everything is possible.</p>
</div></div></div></div></div><p></p><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you</b></p>
<p>The successful candidate will have the following skills and qualifications:</p>
<ul><li>Bachelor&rsquo;s degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.</li>
<li>Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods</li>
<li>Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.</li>
<li>Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.</li>
<li>Excellent programming skills in languages such as Python, R, or SQL.</li>
<li>Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)</li>
<li>Excellent leadership skills, communication and negotiation skills.</li>
<li>Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders</li>
<li>Ability to work collaboratively with cross-functional teams.</li>
<li>Strong command of English language</li>
</ul><p></p><p><b>About Qatar Airways Group</b>
</p><p>Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p>
<p>So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=225623</div></div></div></div></div></div></div></div>

Manager Data Science | Revenue Management

Naufar

<div>
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  <strong>
   JOB PURPOSE:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role serves as a lead that is responsible for overseeing the development, implementation, and continuous improvement of data analysis operations. This role involves analyzing complex datasets to extract actionable insights that assist in a data-driven decision making across the organization. The position collaborates closely with the business through the use of business intelligence and AI technologies.
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  <strong>
   KEY ACCOUNTABILITIES:
  </strong>
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 </p>
 <ul>
  <li>
   Lead data operations analysis, including collection, analysis, and reporting of KPIs/reports.
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   Identify automation opportunities using AI and analytics.
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   Facilitate workshops to gather business data requirements.
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   Analyze data to identify trends and support decisions.
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   Develop real-time dashboards and reports.
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   Contribute to data governance policies ensuring accuracy, integrity, and compliance.
  </li>
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   Collaborate cross-functionally to deliver impactful data solutions.
  </li>
  <li>
   Contribute to all data management practices and comply with NCDP and other legal and regulatory standards such
  </li>
  <li>
   as the Personal Data Protection Law (PDPPL)
  </li>
  <li>
   Comprehensive understanding of data management principles, data warehousing, and analytics
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  <li>
   Deploy advanced analytics and machine learning technologies to enhance data-driven decision-making and monetizing
  </li>
 </ul>
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 </p>
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  <strong>
   JOB REQUIREMENTS:
  </strong>
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  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer Science , Data Science, or related fields (Master&rsquo;s preferred).
  </li>
  <li>
   Strong communication and stakeholder engagement skills.
  </li>
 </ul>
 <p>
  <strong>
   EXPERIENCE:
  </strong>
 </p>
 <ul>
  <li>
   9+ years of experience, with at least 4 years in extensive data implementation in a Healthcare setting, GDPR compliance and analytics.
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  <strong>
   SKILLS
  </strong>
 </p>
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  <li>
   Expertise in BI tools, statistical analysis, AI, Machine learning , big data, and data warehousing.
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   Proficient in Understanding data management and governance and compliance with excellent organizational, time management, written, and verbal skills.
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   Proficiency in data technologies, tools, and trends, including data privacy and security (GDPR compliance)
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   Analytical &amp; problem-solving skills, with good attention to detail while having the ability to make informed decisions, solve problems and analyze complex data sets
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   Ability to develop concise and meaningful data summaries and analysis for presentations and publications.
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  <li>
   Data Science Professional Certificate/ Certified Analytics Professional (CAP)/ Azure Data Scientist Associate/ Data Science Professional Certificate
  </li>
  <li>
   Proficiency with SQL, Python, TensorFlow, ETL Tools: Pentaho, Spoon, Terraform, Data Lakes &amp; Warehousing, Secure programming, applied cryptography
  </li>
  <li>
   Understanding of data management and governance with excellent organizational, time management, written, and verbal skills.
  </li>
 </ul>
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 </p>
</div>


Senior Analytics BI Specialist-Healthcare

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