senior / staff data scientist - recommendations / personalization systems Jobs in Jeddah

senior / staff data scientist - recommendations / personalization systems

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senior / staff data scientist - generative ai Jobs in Jeddah

senior / staff data scientist - generative ai

senior data engineer

senior data scientist

Salla

<div>
 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.
 
 
 
 Responsibilities
 
 
 
 <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>
 
 Requirements
 
 
 
 <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>
 Strong 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>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Senior Data Scientist

SALLA

<div>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.<h3 class="jobSectionHeader"> 
Responsibilities</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>Requirements<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>Strong 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>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 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.
 
 
 
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 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>

Senior Data Scientist (Bangkok based, relocation provided)

<div>We're building the future of commerce AI in the Middle East, powering millions of merchants with intelligent assistants and Gen AI that understands Arabic and English fluently. As our Senior/Staff Data Scientist for GenAI, you'll architect the brain behind our merchant and customer AI assistants, content generation suite, and conversational commerce platform.
This isn't just another chatbot role, you'll design cutting-edge agentic AI systems that can reason about inventory, write compelling Arabic marketing copy, troubleshoot merchant issues, and generate insights from millions of transactions. Your work will directly impact how merchants across the region run their businesses.
Responsibilities<ul>
<li>
Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools. 
</li><li>Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding. 
</li>Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence. 
<li>
</li><li>Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning. 
</li><li>Drive fine-tuning or parameter-efficient adaptation (LoRA, PEFT) of LLMs for commerce-specific reasoning and multilingual support (Arabic &amp; English). 
</li><li>Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand-aware tone control. 
</li><li>Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI. 
</li><li>Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana).</li>
</ul><ul><li>
Nice to have: Fluency in Arabic, prior work on multilingual NLP, or marketplace / SaaS platform experience.</li></ul>
Requirements<h3 class="jobSectionHeader">
Requirements</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a quantitative discipline. 
</li><li>5+ years of experience in applied ML/NLP, including 2+ years building and deploying LLM-based systems in production. 
</li><li>Proven impact: Delivered or scaled LLM products serving 100K+ users or handling 1M+ queries per day. 
</li><li>Technical depth: Solid understanding of transformer architectures, RAG design and optimization, prompt engineering, and LLM evaluation techniques. 
</li><li>Systems thinking: Experience with distributed systems, async workflows, vector search, and caching strategies for latency-sensitive workloads. 
</li><li>Commerce awareness: Familiarity with e-commerce metrics, merchant pain points, and marketplace platform dynamics. 
</li><li>Communication: Comfortable translating complex ML systems into actionable insights for non-technical and leadership stakeholders.</li></ul></div>

Senior / Staff Data Scientist - Generative AI

<div>
 Join us in building the intelligence that powers product discovery for millions of shoppers and thousands of merchants across the Middle East. As the Data Science Manager for the Recommendation Systems Pod, you will lead the design and execution of large-scale personalization models that directly impact the company topline.
 
 
 This is a rare opportunity to shape the next generation of commerce AI in a high-growth market characterized by highly diverse user and merchant behaviors across the GCC.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, train, and deploy recommendations/personalization models leveraging deep learning, sequence models (Transformers, GRU), and boosted trees (XGBoost, LightGBM)
 </li>
 <li>
 Develop multi-task learning approaches that optimize engagement, conversion, and merchant outcomes simultaneously
 </li>
 <li>
 Build scalable retrieval and ranking systems with ANN search (FAISS, ScaNN) and vector embeddings trained on user, product, and event data
 </li>
 <li>
 Collaborate with infra to productionize real-time feature pipelines (ClickHouse, Kafka, Spark)
 </li>
 <li>
 Run A/B tests and interpret results using causal inference and uplift modeling to drive measurable business impact
 </li>
 <li>
 Integrate model outputs with platform APIs for dynamic personalization in search, home feeds, and store pages
 </li>
 <li>
 Define best practices for offline evaluation (MAP@K, NDCG) and online experimentation metrics (CTR, CVR, GMV uplift)
 </li>
 <li>
 Partner with product analytics and data science to iterate on signal enrichment and cold-start strategies
 </li>
 <li>
 Mentor junior data scientists and define best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
 </li>
 <li>
 4+ years of hands-on ML experience, including 2+ years designing or deploying large-scale recommendation systems
 </li>
 <li>
 Track record: Built or maintained systems serving 1M+ users or generating 100M+ personalized predictions daily
 </li>
 <li>
 Deep expertise in representation learning, embeddings, attention mechanisms, and multi-task learning
 </li>
 <li>
 Demonstrated success integrating multi-stage ranking systems across e-commerce surfaces (search, feeds, product detail pages) with measurable online lift (CVR, GMV)
 </li>
 <li>
 Proficient with large-scale data ecosystems: Kafka, Spark, ClickHouse, BigQuery, or equivalent
 </li>
 <li>
 Strong understanding of offline/online evaluation metrics, A/B experimentation, and model monitoring frameworks
 </li>
 <li>
 Skilled in debugging, optimization, and productionization of ML pipelines in cloud or containerized environments
 </li>
 </ul>
</div>

Senior / Staff Data Scientist - Recommendations / Personalization Systems

<div>Join us in building the intelligence that powers product discovery for millions of shoppers and thousands of merchants across the Middle East. As the Data Science Manager for the Recommendation Systems Pod, you will lead the design and execution of large-scale personalization models that directly impact the company topline.
This is a rare opportunity to shape the next generation of commerce AI in a high-growth market characterized by highly diverse user and merchant behaviors across the GCC.<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, train, and deploy recommendations/personalization models leveraging deep learning, sequence models (Transformers, GRU), and boosted trees (XGBoost, LightGBM). 
</li><li>Develop multi-task learning approaches that optimize engagement, conversion, and merchant outcomes simultaneously. 
</li><li>Build scalable retrieval and ranking systems with ANN search (FAISS, ScaNN) and vector embeddings trained on user, product, and event data. 
</li><li>Collaborate with infra to productionize real-time feature pipelines (ClickHouse, Kafka, Spark). 
</li><li>Run A/B tests and interpret results using causal inference and uplift modeling to drive measurable business impact. 
</li><li>Integrate model outputs with platform APIs for dynamic personalization in search, home feeds, and store pages. 
</li><li>Define best practices for offline evaluation (MAP@K, NDCG) and online experimentation metrics (CTR, CVR, GMV uplift). 
</li><li>Partner with product analytics and data science to iterate on signal enrichment and cold-start strategies. 
</li><li>Mentor junior data scientists and define best practices</li>
</ul>
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, or a related technical field. 
</li><li>4+ years of hands-on ML experience, including 2+ years designing or deploying large-scale recommendation systems. 
</li><li>Track record: Built or maintained systems serving 1M+ users or generating 100M+ personalized predictions daily. 
</li><li>Deep expertise in representation learning, embeddings, attention mechanisms, and multi-task learning. 
</li><li>Demonstrated success integrating multi-stage ranking systems across e-commerce surfaces (search, feeds, product detail pages) with measurable online lift (CVR, GMV). 
</li><li>Proficient with large-scale data ecosystems: Kafka, Spark, ClickHouse, BigQuery, or equivalent. 
</li><li>Strong understanding of offline/online evaluation metrics, A/B experimentation, and model monitoring frameworks. 
</li><li>Skilled in debugging, optimization, and productionization of ML pipelines in cloud or containerized environments</li></ul></div>

<div>We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.
Key Responsibilities<ul><li>Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.</li><li>Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.</li><li>Develop and maintain solutions for streaming and serverless data processing.</li><li>Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.</li><li>Ensure data quality, reliability, and performance across the platform.</li><li>Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.</li><li>Mentor junior engineers and contribute to the continuous improvement of engineering practices.</li><li>Strong problem-solving skills and the ability to thrive in a fast-paced environment.
</li><li>Excellent communication and teamwork skills.
</li></ul>Requirements<ul><li>
5+ years of experience in Data Engineering or related fields.
</li></ul><ul><li>Strong expertise in ClickHouse (schema design, ingestion optimization, query performance tuning, and cluster management).
</li><li>Proven experience with real-time data processing using Apache Kafka, Flink, or Spark Streaming.
</li><li>Deep understanding of distributed systems architecture with emphasis on scalability, reliability, and fault tolerance.
</li><li>Proficiency in one or more programming languages:
</li></ul>Python: Building data pipelines, automation scripts, and integrations.
Go: Developing high-performance data services or tools.
TypeScript: Contributing to data-related front-end or service-side applications.
Bash/Shell scripting: Writing automation scripts for data operations.
Rust (Good to have): Interest or experience in building memory-safe, high-performance systems.
<ul><li>Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
</li><li>Familiarity with containerization and orchestration tools (Docker, Kubernetes).</li></ul></div>

Senior Data Engineer

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176 senior data scientist jobs IN Jeddah

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Bangkok based, relocation provided)

Senior / Staff Data Scientist - Generative AI

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Senior Data Engineer