data science manager - recommendation systems Jobs in Jeddah Saudi Arabia

data science manager - recommendation systems

senior data analyst Jobs in Jeddah Saudi Arabia

senior data analyst

senior data engineer Jobs in Jeddah Saudi Arabia

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senior data scientist Jobs in Jeddah Saudi Arabia

senior data scientist

data science manager recommendation systems

SALLA

<p></p><div><p>Join us at the ground floor of building the intelligence that powers discovery for millions of shoppers and thousands of merchants across the Middle East.</p><p>
As the founding Data Science Manager for the Recommendation Systems Pod, you&rsquo;ll be both an architect and a builder, defining the technical roadmap, assembling the team, and shipping the first generation of models that will shape how users discover, explore, and buy across our platform.</p><p>
This is a rare zero-to-one opportunity to design the backbone of a large-scale personalization ecosystem in a region with distinct challenges and rich complexity - multilingual search, fast-evolving consumer behavior, and sharp seasonality across GCC markets. You&rsquo;ll drive measurable topline growth while laying the foundations of a high-performance applied ML organization.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul>
<li>Own the Recommendation Roadmap: Define and execute the long-term technical and business strategy for retrieval, ranking, and personalization systems across the platform (search, home feed, and store pages).</li>
<li>Model Innovation: Oversee development of state-of-the-art recommendation architectures &mdash; multi-task learning, sequence-based models, and hybrid (deep + boosted) rankers.<br>
Drive measurable lift in engagement, CVR, and GMV.</li>
<li>Lead and Grow the Pod: Manage and mentor a cross-functional team of data scientists, ML engineers, and data engineers. Foster technical excellence, iterative experimentation, and accountability for impact.</li>
<li>Cross-Functional Leadership:<br>
Partner with Product, Infra, and Merchant Success to align modeling with business priorities. Translate ambiguous goals into clear, data-backed roadmaps.</li>
<li>Scalable Deployment &amp; Experimentation:<br>
Lead productionization of models with real-time feature stores (ClickHouse, Kafka, Spark), and ensure rigorous A/B testing and causal inference for model launches.</li>
<li>Quality and Governance:<br>
Define and enforce model evaluation, monitoring, and retraining standards. Maintain consistency in feature usage, labeling, and performance reporting across surfaces.</li>
<li>Collaboration with GenAI:<br>
Partner with the GenAI team to infuse recommendation intelligence into conversational shopping experiences and merchant assistants.</li>
Clear communicator capable of aligning technical and business teams around a common vision.<br>
<li>
</li>
</ul><p><b>Requirements</b></p><p></p><ul>
<li>
Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Machine Learning, or a related quantitative field.</li>
<li>Experience: 6+ years in applied ML, including 3+ years building or leading large-scale recommendation systems.</li>
<li>Leadership: Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes.</li>
<li>Technical Depth: Hands-on understanding of multi-stage ranking, embeddings, and personalization architectures; able to review and guide model design.</li>
<li>Experience driving online lift through A/B experimentation.<br>
Familiarity with data and serving infrastructure (Kafka, Spark, ClickHouse, SageMaker, etc).<br>
</li>
</ul><p>Bonus: Experience in multilingual or Arabic e-commerce contexts.</p></div>

Data Science Manager - Recommendation Systems

<div><p>We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.</p><p></p><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><ul>
<li>Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.</li>
<li>Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.</li>
<li>Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.</li>
<li>Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.</li>
<li>Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.</li>
<li>Design new service offerings and solutions in E-Commerce and different fields.</li>
<li>Keep up to date with latest trends and technologies in the data science and ML fields.</li>
<li>Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.</li>
<li>Work closely with Business Analysts and product development teams to understand and implement their requirements.</li>
<li>Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.</li>
<li>Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.</li>
</ul><p><b>Requirements</b></p><ul>
<li>Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.</li>
<li>At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).</li>
<li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.</li>
<li>Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).</li>
<li><b>S</b>trong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.</li>
<li>Experience in Deep Learning algorithms and techniques.</li>
<li>Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-</li>
<li>Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).</li>
<li>Excellent in Algorithms and Object-Oriented programming.</li>
<li>Familiarity with database technology (design and implementation) and query language.</li>
<li>Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.</li>
<li>Strong organizational and project management skills.</li>
<li>Good problem-solving skills.</li>
<li>Excellent communication and presentation skills</li>
</ul><p><b>Benefits</b></p><ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Senior Data Scientist

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Biological and Environmental Science and Engineering Division (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Thuwal, Saudi Arabia
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Nov 02, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>We are seeking a highly motivated and quantitatively skilled Research Specialist with a strong background in data science, statistics, and programming to support ongoing and new research projects in the Integrated Reef Fisheries Lab at KAUST.</p>
<p>
The <i>Integrated Reef Fisheries Lab </i>is dedicated to enhancing the sustainability of coral reef fisheries and aquatic food systems both in the Kingdom and around the world. Through collaborative, data-driven research, we integrate ecological, social, and economic data to develop innovative tools and strategies that support resilient fisheries and communities. Working closely with local stakeholders and global partners, our interdisciplinary team strives to create practical solutions that ensure the long-term health and productivity of reef ecosystems worldwide&mdash;especially in the face of climate change.</p>
<p>
The research specialist will work closely with Professor Jessica Zamborain Mason and her team to conduct data-driven analyses, manage large and complex databases, support research design, assist in manuscript preparation, and help maintain smooth lab operations.</p>
<p>
Are you passionate about using data science to tackle real-world environmental challenges? Be part of a team that turns data into solutions&mdash;protecting ecosystems and empowering communities worldwide.</p>
<p><b>
Expectations</b></p>
<p><b>
1. Data Management &amp; Analysis</b></p>
<ul>
<li>Develop, maintain, and optimize data pipelines for collecting, cleaning, harmonizing and transforming large and complex datasets including a range of environmental, ecological, social and economic variables.</li>
<li>Conduct statistical and geospatial analyses, data visualization, and mechanistic modeling as required by project goals.</li>
<li>Ensure data integrity, reproducibility, and documentation throughout the research lifecycle.</li>
<li>Collaborate with the PI to interpret and summarize analytical results.</li>
</ul>
<p><b>2. Research &amp; Writing Support</b></p>
<ul>
<li>Conduct literature reviews and synthesize findings relevant to ongoing research topics.</li>
<li>Assist in preparing manuscripts, reports, presentations, and grant proposals.</li>
<li>Contribute to writing methods sections and developing reproducible analysis scripts.</li>
</ul>
<p><b>3. Technical Infrastructure</b></p>
<ul>
<li>Manage code repositories and collaborative workflows using GitHub/GitLab.</li>
<li>Maintain documentation of code, workflows, and data sources.</li>
<li>Contribute to the development of automated pipelines and reproducible research frameworks.</li>
</ul>
<p><b>4. Lab Coordination &amp; Administration</b></p>
<ul>
<li>Support the PI in coordinating research activities, meetings, and lab schedules.</li>
<li>Assist with data sharing, compliance, and ethics documentation.</li>
<li>Help onboard and mentor new lab members in data practices and computational tools.</li>
</ul>
<p><b>About KAUST:</b></p>
<p>
KAUST is an international graduate-level, merit-based research university dedicated to advancing scientific and technological education and research, acting as a catalyst for innovation, economic development and social prosperity in the region and the world. Our research strives to enhance the welfare of society with a special focus on four areas of global significance &ndash; food, water, energy and health. Based near Jeddah, Saudi Arabia, KAUST has attracted top-notch faculty and staff from all over the world, with more than 80 nations represented on campus. In addition to an unparalleled research infrastructure, KAUST offers terrific opportunities to pursue innovation and economic development via startups. For further information about KAUST please visit:</p>
<p>
https://www.kaust.edu.sa</p>
<p>
https://www.kaust.edu.sa/en/live/community-life</p>
<p>
https://bese.kaust.edu.sa</p>
<p>
At KAUST, we attract people from all around the world who want to create impact beyond their own achievements. Irrespective of their national origins, the people of KAUST are &ldquo;people of the world&rdquo; who uphold our values of achievement, passion, inspiration, citizenship, diversity, integrity, and openness. Located on the beautiful Red Sea coast of Saudi Arabia, KAUST sets exceptional standards in residences, recreational facilities and boasts a truly multicultural community environment which can be enjoyed by all, along with ample opportunities and time to keep work and life in harmony. Expats are very well looked after, with packages including tax-free salary, relocation, accommodation and various additional incentives.</p>
<p><b>
Join us for an adventure!</b></p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, Environmental Science, or a related quantitative field.</li>
<li>Strong proficiency in R for data manipulation, analysis, and visualization.</li>
<li>Familiarity with Git and GitHub for version control and collaborative coding.</li>
<li>Excellent communication, writing, and organizational skills.</li>
<li>Proven ability to work with large and complex datasets.</li>
<li>Experience contributing to peer-reviewed publications.</li>
<li>Demonstrated ability to work independently and collaboratively in multidisciplinary research environments.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>To apply, please submit the following documents:</p>
<ul>
<li>CV</li>
<li>Cover letter outlining your research experience and motivation for this position (maximum of 2 pages)</li>
<li>Contact details for (at least) two references</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
</div><div><p>Apply Now</p></div></div></div></div></div></div></div></div></div></div>

Research Specialist in Data Science and Marine Socio-ecological Systems

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Biological and Environmental Science and Engineering Division (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Thuwal, Saudi Arabia
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Nov 01, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Aquatic foods are essential for human nutrition worldwide, yet we still lack a comprehensive understanding of how their nutrient composition, availability, and consumption vary across space and time. Quantifying the spatio-temporal variability in their nutritional contributions&mdash;and integrating this knowledge into dietary assessments and future food security scenarios&mdash;is crucial for developing resilient, nutrition-sensitive food systems that can support global health in a rapidly changing world.</p>
<p>
We invite applications for a Postdoctoral Researcher experienced in <i>Marine Biogeochemistry</i>, <i>Data Science</i> and/or <i>Nutritional epidemiology</i> to join an interdisciplinary project aiming to understand how the nutrient contributions of aquatic foods vary across space and time&mdash;globally and with a special focus on the Red Sea.</p>
<p>
The successful candidate will be based within the <i>Integrated Reef Fisheries Lab</i> at KAUST, led by Professor Jessica Zamborain-Mason, and will have the opportunity to collaborate with a dynamic national and international network of leading scientists and practitioners, including Professors Christopher Golden (Harvard University), James Robinson (Lancaster University), and Christina Hicks (Lancaster University).</p>
<p>
This is an exciting opportunity to contribute to a growing field at the nexus of food systems, marine ecosystems, and human health. We welcome candidates with strong quantitative skills, who are curious, collaborative, and eager to make a difference at the intersection of marine ecosystems and human health.</p>
<p><b>
Expectations</b></p>
<p>
The successful candidate will:</p>
<ul>
<li>Examine the variability in nutrient content of aquatic foods across time and space (using global and regional datasets).</li>
<li>Contribute to the design and implementation of a long-term monitoring program, including:</li>
<div><ul><li>Sampling aquatic foods for nutrient content.</li></ul>
<ul><li>Conducting and analyzing food intake surveys to assess the nutritional contribution of aquatic foods to local diets.</li></ul>
</div><li>Integrate results into forward-looking analyses of potential futures for food security and nutrition.</li>
</ul>
<p><b>About KAUST:</b><br>
KAUST is an international graduate-level, merit-based research university dedicated to advancing scientific and technological education and research, acting as a catalyst for innovation, economic development and social prosperity in the region and the world. Our research strives to enhance the welfare of society with a special focus on four areas of global significance &ndash; food, water, energy and health. Based near Jeddah, Saudi Arabia, KAUST has attracted top-notch faculty and staff from all over the world, with more than 80 nations represented on campus. In addition to an unparalleled research infrastructure, KAUST offers terrific opportunities to pursue innovation and economic development via startups. For further information about KAUST and postdoctoral life/benefits please visit:</p>
<p>
https://www.kaust.edu.sa</p>
<p>
https://www.kaust.edu.sa/en/live/community-life</p>
<p>
https://bese.kaust.edu.</p>
<p>
At KAUST, we attract people from all around the world who want to create impact beyond their own achievements. Irrespective of their national origins, the people of KAUST are &ldquo;people of the world&rdquo; who uphold our values of achievement, passion, inspiration, citizenship, diversity, integrity, and openness. Located on the beautiful Red Sea coast of Saudi Arabia, KAUST sets exceptional standards in residences, recreational facilities and boasts a truly multicultural community environment which can be enjoyed by all, along with ample opportunities and time to keep work and life in harmony. Expats are very well looked after, with packages including tax-free salary, relocation, accommodation and various additional incentives.</p>
<p><b>
Join us for an adventure!</b></p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (completed or near completion) in a relevant discipline, such as marine biogeochemistry, data science, nutrition epidemiology, environmental science, or related fields.</li>
<li>Strong quantitative and programming skills (e.g., R and other statistical and data science tools).</li>
<li>Demonstrated ability to manage and analyze large, complex datasets.</li>
<li>Interest in open interdisciplinary research at the intersection of marine science, nutrition, and sustainability.</li>
<li>Excellent communication skills and a collaborative mindset, with openness to working across disciplines and with diverse partners.</li>
</ul>
<p>Desirable Experience</p>
<ul>
<li>Experience with fieldwork involving aquatic food sampling for nutrient analyses.</li>
<li>Experience conducting dietary intake surveys.</li>
<li>Familiarity with spatial and temporal modeling approaches.</li>
<li>Strong publication record for career stage.</li>
<li>This role offers the exciting opportunity to travel across Saudi Arabia and engage with a diverse range of stakeholders, including government and non-government organizations, industry partners, local communities, and academic collaborators. We welcome applications from candidates who thrive in dynamic, multi-level settings and are fluent in both Arabic and English, bringing their skills to foster meaningful partnerships and make a tangible impact.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
 </b></h3><div><div><p>To apply, please submit the following documents:</p>
<ul>
<li>CV</li>
<li>Cover letter outlining your research experience and motivation for this position (maximum of 2 pages)</li>
<li>Contact details for (at least) two references</li>
<li>Sample peer-review publication relevant to this work</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
</div><div><p>Apply Now</p></div></div></div></div></div></div></div></div></div></div>

Postdoc - Examining the Spatio-Temporal Variability in Nutrient Contributions of Aquatic Foods

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 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>
 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 #IT #4
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <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>


Lead DS (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/>
 <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.
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  The Opportunity
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  Please note -The role will be based in Bangkok.
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 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.
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 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.
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  In This Role, You&rsquo;ll Get to
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   Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
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   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.
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   Work with developers and a variety of business owners to deliver daily results with the best quality.
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   Research discover and harness new ideas that can make a difference
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  What You&rsquo;ll Need To Succeed
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   4+ years hands-on data science experience.
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   Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
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   Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
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   Can lead, work independently as well as play a key role in a team.
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   Good communication and interpersonal skills for working in a multicultural work environment.
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  It&rsquo;s Great if You Have
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   PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
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   Experience in NLP, image processing and/or recommendation systems
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   Hands on experience in data engineering, working with big data framework like Spark/Hadoop
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   Experience in data science for e-commerce and/or OTA
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  We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
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 #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
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  Discover More About Working At Agoda
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   Agoda Careers https://careersatagoda.com
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   Facebook https://www.facebook.com/agodacareers/
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   LinkedIn https://www.linkedin.com/company/agoda
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   YouTube https://www.youtube.com/agodalife
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 <strong>
  Equal Opportunity Employer
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 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.
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 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.
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  Disclaimer
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 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.
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Senior Data Scientist (Bangkok based, relocation provided)

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

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