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senior / staff data scientist - recommendations / personalization systems Jobs in Saudi Arabia

senior / staff data scientist - recommendations / personalization systems

senior staff data scientist recommendations personalization systems

Salla

<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

SALLA

<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>

Qiam real estate

Senior Data Scientist &ndash; Full-time | Riyadh, Saudi ArabiaOverview: The Senior Data Scientist is responsible for collecting, processing, and analyzing large datasets to provide actionable insights that support data-driven decision-making. The role requires close collaboration with cross-functional teams to understand data needs, generate analytical reports, and enhance organizational strategy.Key Responsibilities<ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using tools such as Power BI, Tableau, etc.</li><li>Work with stakeholders to translate analytical findings into strategic recommendations.</li><li>Support business decisions using statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvements.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance metrics to enhance operational efficiency.</li><li>Ensure compliance with data privacy regulations and internal data policies.</li></ul>Skills &amp; Competencies<ul><li>Strong proficiency in SQL and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, Looker).</li><li>Proficiency in Python or R for analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Familiarity with cloud platforms (Azure, AWS, Google Cloud) is a plus.</li><li>Solid knowledge of statistics and application of statistical techniques in business contexts.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field.</li><li>Minimum 5 years experience as a Data Analyst or similar role.</li><li>Proven experience handling complex datasets and delivering insights that support decision-making.</li></ul>Preferred<ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics.</li><li>Certifications such as Power BI, Tableau, or Azure Data Analyst are an advantage.</li></ul>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1634;&#1632;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:<ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

Senior Data Scientist

SAUDI AIRLINES

<div>
 
 
 Job Summary
 
 
 
 
 
 
 Develop and maintain scalable backend systems and APIs to enable AI-driven personalization. Collaborate with cross-functional teams to integrate enterprise systems, deploy ML models, and ensure performance, security, and compliance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 API &amp; Microservices Development:
 
 Build robust, scalable APIs and microservices to support AI orchestration and personalization logic.
 </li>
 <li>
 
 Real-Time Processing:
 
 Ensure low-latency, real-time decision-making and personalization delivery across web, mobile, email, and call center channels.
 </li>
 <li>
 
 System Integration:
 
 Integrate backend services with airline booking engines, pricing systems, CRM platforms, and other enterprise applications.
 </li>
 <li>
 
 ML Model Deployment:
 
 Collaborate with data scientists to productionize machine learning models and integrate them into backend workflows.
 </li>
 <li>
 
 Performance Optimization:
 
 Optimize backend systems for scalability, fault tolerance, and security.
 </li>
 <li>
 
 Data Management:
 
 Implement efficient strategies for handling large-scale, distributed data systems, including caching and database tuning.
 </li>
 <li>
 
 Compliance &amp; Security:
 
 Ensure adherence to security best practices, data privacy regulations, and airline/travel compliance standards.
 </li>
 <li>
 
 Agile Collaboration:
 
 Participate in Agile SAFe ceremonies, code reviews, and continuous improvement initiatives.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Proficiency in
 
 Node.js
 
 ,
 
 Java Spring Boot
 
 , and
 
 Python FastAPI/Flask
 
 .
 </li>
 <li>
 Strong knowledge of
 
 REST
 
 ,
 
 GraphQL
 
 , and event-driven architecture.
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS/GCP/Azure),
 
 microservices
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Familiarity with airline/travel APIs and PSS systems (preferred).
 </li>
 <li>
 Understanding of
 
 CI/CD pipelines
 
 , Git, and backend security best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
</div>

Senior Backend Developer

Q Mart | كيو

<div>
 
 
 We are building Q an advanced next-generation platform where the entire experience is driven by adaptive, learning-based intelligence rather than fixed or static rules
 
 
 
 
 
 
 
 This role is not about tuning existing models.
 
 
 
 
 It is about designing and building the central intelligence of the product from zero:
 
 
 
 
 &bull; A recommendation engine that competes with Amazon level systems
 
 
 
 
 &bull; A search engine that understands intent, not keywords
 
 
 
 
 &bull; A fully adaptive personalized experience
 
 
 
 
 &bull; A behavioral intelligence layer that drives real business impact
 
 
 
 
 
 
 
 If you want a role where your work becomes the backbone of the product, this is it.
 
 
 
 
 
 
 
 What You Will Build and Own
 
 
 
 
 
 
 
 This is an end to end engineering role.
 
 
 
 
 You will take problems from concept، design، modeling، deployment، iteration.
 
 
 
 
 
 
 
 1) Advanced Recommendation Systems
 
 
 
 
 
 
 
 You will design systems such as:
 
 
 
 
 &bull; Behavioral recommenders
 
 
 
 
 &bull; Collaborative filtering (user item, item item)
 
 
 
 
 &bull; Graph-based recommenders
 
 
 
 
 &bull; Session-based and sequence models
 
 
 
 
 &bull; Embedding driven ranking models
 
 
 
 
 
 
 
 2) Intelligent Search
 
 
 
 
 
 
 
 You will build search that truly understands users:
 
 
 
 
 &bull; Learning-to-rank models
 
 
 
 
 &bull; Semantic retrieval
 
 
 
 
 &bull; Query understanding &amp; rewriting
 
 
 
 
 &bull; Spelling/intent correction
 
 
 
 
 &bull; Vector search and embedding pipelines
 
 
 
 
 
 
 
 3) Full Personalization Engine
 
 
 
 
 
 
 
 You will own:
 
 
 
 
 &bull; User segmentation &amp; clustering
 
 
 
 
 &bull; Personalized homepages
 
 
 
 
 &bull; Dynamic product surfacing
 
 
 
 
 &bull; Behavior-driven recommendations and offers
 
 
 
 
 
 
 
 4) Experimentation Framework
 
 
 
 
 
 
 
 You will:
 
 
 
 
 &bull; Define A/B test structures
 
 
 
 
 &bull; Establish metrics that matter
 
 
 
 
 &bull; Analyze experiments accurately
 
 
 
 
 &bull; Drive product decisions based on evidence
 
 
 
 
 
 
 
 5) Data Foundation for ML
 
 
 
 
 
 
 
 You will design:
 
 
 
 
 &bull; Event tracking frameworks
 
 
 
 
 &bull; Feature stores
 
 
 
 
 &bull; Batch + streaming data pipelines
 
 
 
 
 &bull; Tight integration with backend microservices
 
 
 
 
 
 
 
 6) Production ML Deployment
 
 
 
 
 
 
 
 You will ship:
 
 
 
 
 &bull; Reliable, scalable ML services
 
 
 
 
 &bull; Low-latency inference pipelines
 
 
 
 
 &bull; Monitored, versioned, continuously improving models
 
 
 
 
 
 
 
 Who You Are (The Exact Profile)
 
 
 
 
 
 
 
 
 
 
 1) You have real, hands-on experience building recommendation systems from zero
 
 
 
 
 Not just using libraries or pre-built models.
 
 
 
 
 You have actually designed and implemented recommendation engines end-to-end, including data pipelines, candidate generation, ranking, personalization, and evaluation ,and you understand the underlying math, signals, and behavioral patterns that drive real-world recommendation quality.
 
 
 
 
 
 
 
 
 
 
 2) You understand algorithms deeply
 
 
 
 
 
 
 
 Not just frameworks.
 
 
 
 
 You can explain why a model works, not just how to run it.
 
 
 
 
 
 
 
 3) You&rsquo;ve built real production systems
 
 
 
 
 
 
 
 Even if partially.
 
 
 
 
 You know the difference between academic ML and commercial ML.
 
 
 
 
 
 
 
 4) You take ownership without waiting for direction
 
 
 
 
 
 
 
 You design, build, and lead your area end-to-end.
 
 
 
 
 
 
 
 5) You think in terms of business impact
 
 
 
 
 
 
 
 You optimize for relevance, revenue, retention not just accuracy metrics.
 
 
 
 
 
 
 
 6) You don&rsquo;t accept shallow fixes
 
 
 
 
 
 
 
 You prefer fundamental, scalable solutions that materially improve the user experience.
 
 
 
 
 
 
 
 Required Technical Skills
 
 
 
 
 &bull; Strong Python engineering skills
 
 
 
 
 &bull; Strong ML fundamentals
 
 
 
 
 &bull; Hands-on experience in recommender systems or search
 
 
 
 
 &bull; TensorFlow or PyTorch
 
 
 
 
 &bull; Experience with embeddings and vector search (FAISS, Weaviate, Pinecone, etc.)
 
 
 
 
 &bull; Strong SQL and data manipulation
 
 
 
 
 &bull; Experience building data pipelines
 
 
 
 
 &bull; Experience shipping ML to production environments
 
 
 
 
 
 
 
 Candidates with 3&ndash;10 years of experience are welcome if they meet the required skill level.
 
 
 
 
 
 
 
 What You&rsquo;ll Get at Q
 
 
 
 
 &bull; Full ownership no layers of bureaucracy
 
 
 
 
 &bull; Ability to build foundational systems from scratch
 
 
 
 
 &bull; A product where ML is central, not a side feature
 
 
 
 
 &bull; A fast decision-making environment
 
 
 
 
 &bull; Clear impact on thousands of users (and soon millions)
 
 
</div>

Machine Learning Engineer

<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

Quantum Talent Group

<div>
 
 Our partner is looking for a skilled Data Scientist / Data Analytics Consultant to join their team in Riyadh, Saudi Arabia. The ideal candidate will have strong analytical skills, solid technical knowledge, and experience working directly with clients to deliver meaningful results within the banking industry.
 
 
 
 
 
 
 Data Analytics and Technical Skills
 
 
 <ul>
 <li>
 Hands-on experience in predictive modeling and data analysis.
 </li>
 <li>
 Strong skills in SQL and Python; SAS knowledge is a plus.
 </li>
 <li>
 Ability to interpret analytical results and turn them into clear recommendations.
 </li>
 <li>
 Current or previous banking industry experience is required.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Manage deliverable development and workstreams on projects across a range of industries and problem statements.
 </li>
 <li>
 Contribute to and/or develop strategies and programs for regional and global clients by leveraging data science tools, including Test &amp; Learn.
 </li>
 <li>
 Manage working relationships with client managers and act as a trusted and reliable partner.
 </li>
 <li>
 Provide analytical and technical subject matter expertise and drive client success through Test &amp; Learn adoption and competency.
 </li>
 <li>
 Develop sound business recommendations and deliver effective client presentations.
 </li>
 <li>
 Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems using Test &amp; Learn, synthesize analyses into relevant findings, and create impactful storylines.
 </li>
 <li>
 Lead team and external meetings and lead or co-lead project management.
 </li>
 <li>
 Contribute to the firm's intellectual capital and solution development.
 </li>
 <li>
 Grow from coaching to enable ownership of day-to-day project management across client projects and mentor junior consultants.
 </li>
 </ul>
 
 
</div>

Data Scientist-Consultant

Explore 3245+ Senior staff data scientist recommendations personalization systems in Saudi Arabia this December. Find roles across top companies and apply now to boost your career.

3245 senior staff data scientist recommendations personalization systems jobs IN Saudi Arabia

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Senior Data Scientist

Senior Backend Developer

Machine Learning Engineer

Senior / Staff Data Scientist - Generative AI

Data Scientist-Consultant