front office data entry clerk - saudi talent Jobs in Mecca Saudi Arabia

front office data entry clerk - saudi talent

lead ds (data scientist) bangkok based, relocation provided Jobs in Mecca Saudi Arabia

lead ds (data scientist) bangkok based, relocation provided

senior data scientist (bangkok based, relocation provided) Jobs in Mecca Saudi Arabia

senior data scientist (bangkok based, relocation provided)

lead/ staff data scientist (bangkok based, relocation provided) Jobs in Mecca Saudi Arabia

lead/ staff data scientist (bangkok based, relocation provided)

lead staff data scientist bangkok based relocation provided

Agoda

<div>
 
 About Agoda
 
 
 
 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.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 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.
 
 
 
 Get to Know Our Team
 
 
 
 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.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 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.
 
 
 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.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <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
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #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
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 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.
 
 
 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.
 
 
 
 Disclaimer
 
 
 
 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.
 
 
</div>

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

Senior Data Scientist (Bangkok based, relocation provided)

<div>
 
 About Agoda
 
 
 
 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.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 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.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department 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.
 
 
 
 The Opportunity
 
 
 
 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.
 
 
 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.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <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
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #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 #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 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.
 
 
 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.
 
 
 
 Disclaimer
 
 
 
 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.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

Rotana Hotel Management Corporation PJSC

<div>
 
 Job Description
 
 
 
 We are currently seeking for passionate and dynamic Maintenance professionals who pride themselves on their ability to deliver extraordinary levels of customer service and provide creative solutions to our guests.
 
 
 As a BMS Operator you are responsible to supervise and control the operation of the building management system and monitor all plant activities of the headquarters building services, whereby your role will include key responsibilities such as-
 
 
 <ul>
 <li>
 Provide the maintenance supervisor with planned preventive maintenance (PPM) schedules for implementation and handle the follow up on the same
 </li>
 <li>
 Analyze the behavior of the plants with respect to the set point and setting up the various control parameters
 </li>
 <li>
 Perform daily auditing of plant performance by utilizing the facilities built on the building management system (BMS) e.g. data logging, plant review, alarm manager status, etc.
 </li>
 <li>
 Analyze reasons of failure of plants and provides specific diagnostic, problem analysis and specify the necessary remedial actions for Supervisor&rsquo;s approval
 </li>
 <li>
 Use the historical logged data of various plants to review the system and propose improvements in order to enhance the system efficiency and / or reduce the operation cost as well as improve the services provided to customer
 </li>
 <li>
 Program the BMS and PPM system and other plants (e.g. standby power generator, diesel driven fire fighting pump, fire alarm system, etc.) for automatic periodic testing
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 
 Education, Qualifications &amp; Experiences
 
 
 
 You should ideally have a degree in BMS mechanical engineering with previous experiences in the same role and a proven knowledge in the operation and maintenance of the equipment. A good command of English and the ability to find fault and rectify subsystems are essentials.
 
 
 
 Knowledge &amp; Competencies
 
 
 
 The ideal candidate will be self motivated with a hands-on and flexible approach and be able to adapt to unpredictable events. You are pro-active and reliable and will thrive through working in a busy environment and stay calm under pressure, have attention to details and should possess following competencies-
 
 
 Adaptability
 
 
 Customer Focus
 
 
 Recognising Differences
 
 
 Taking Responsibility
 
 
 Teamwork
 
 
 Understanding the job
</div>

BMS Operator

Salla

<div>
 We're hiring a Catalogue Consultant to shape the way Salla merchants manage their product data, taxonomy, and digital content &mdash; creating catalogue systems that are both structured and merchant-friendly.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Redefine how product data lives in Salla. Evaluate how merchants today create, categorize, and enrich product data &mdash; then design smarter, scalable structures for thousands of SKUs across categories.
 </li>
 <li>
 Build the taxonomy backbone. Define and maintain taxonomy, metadata, and data governance frameworks that support multi-language catalogues (Arabic/English) and multiple markets (GCC, International).
 </li>
 <li>
 Collaborate across product, engineering, and UX. Work with squads responsible for Imports, Checkout, and Discovery to improve product import flows, attribute management, and localization logic.
 </li>
 <li>
 Design attribute and classification templates. Create adaptive attribute templates and product schemas per merchant type (e.g., fashion, beauty, electronics), ensuring every category captures only what's relevant.
 </li>
 <li>
 Drive catalogue data quality. Set standards for product data completeness, consistency, and SEO alignment &mdash; ensuring high discoverability across store search, marketplaces, and external channels.
 </li>
 <li>
 Lead PIM/MDM implementations. Guide system testing, integration, and data validation for catalogue syncs, bulk imports, and migration workflows from other platforms.
 </li>
 <li>
 Improve product discovery. Define which product attributes appear as filters and how they impact conversion, relevance, and recommendation quality.
 </li>
 <li>
 Collaborate on merchant tooling. Support the design of new catalogue management tools, AI enrichment features, and merchant onboarding experiences for product setup
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5-8 years of experience in catalogue or product data management within e-commerce, marketplaces, or ERP environments
 </li>
 <li>
 Experience in Product Information Management (PIM) or Master Data Management (MDM): You've implemented or managed systems such as Akeneo, Riversand, Pimcore, Salsify, or Informatica.
 </li>
 <li>
 Strong understanding of eCommerce catalog structures: You know how SKU data, product variants, and attribute hierarchies work across complex product types (fashion, beauty, electronics, FMCG, etc.).
 </li>
 <li>
 Hands-on experience with product data and taxonomy: You've built or optimized attribute models, filters, and product classification systems at scale.
 </li>
 <li>
 Knowledge of SEO and content enrichment best practices: You understand how structured product data improves visibility, search performance, and customer discovery.
 </li>
 <li>
 Analytical mindset: You can analyze merchant catalogs, identify inconsistencies, and propose scalable data models that improve automation and reporting.
 </li>
 <li>
 Technical literacy: Familiar with data exchange formats (CSV, JSON, XML), APIs, and integrations between catalog, ERP, and marketplace systems.
 </li>
 <li>
 Bilingual advantage: Fluency in Arabic and English is a plus, especially for taxonomy and localization validation across regions.
 </li>
 <li>
 Preferred background: Experience with online marketplaces, large retail eCommerce operations, or SaaS product catalog systems.
 </li>
 <li>
 Proven experience managing large-scale product data: Comfortable working with tens or hundreds of thousands of SKUs, ensuring data normalization, bulk imports, and catalog consistency across multi-channel retail environments.
 </li>
 <li>
 Omnichannel and retail experience: You've collaborated with or worked inside retailers that operate both online and offline, understanding how to align digital catalog data with POS systems, ERP integrations, and in-store inventory synchronization
 </li>
 </ul>
</div>

Catalogue / Merchandising Consultant

Explore 17+ Lead staff data scientist bangkok based relocation provided in Mecca Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

17 lead staff data scientist bangkok based relocation provided jobs IN Mecca Saudi Arabia

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

Senior Data Scientist (Bangkok based, relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead DS (Data Scientist) Bangkok based, Relocation provided

BMS Operator

Catalogue / Merchandising Consultant