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

senior / staff data scientist - recommendations / personalization systems

senior data scientist

data analyst

data scientist

senior / staff data scientist - generative ai Jobs in Jeddah

senior / staff data scientist - generative ai

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>

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

Saudi Air Navigation Services

<div>
 
 
 Role Purpose
 
 
 
 To manage and optimize the allocation of resources, infrastructure, and facilities to ensure the R&amp;D department operates efficiently and meets strategic objectives. This includes aligning resources with current and future project demands, ensuring compliance with industry standards, and fostering collaboration across teams. The role will also focus on developing data-driven systems for resource planning and utilization, supporting training and development initiatives, and assisting the Innovation Head with financial planning, budgeting, and reporting. within set KPI&rsquo;s, agreed budgets and adopted policies and procedures.
 
 
 
 
 
 
 KEY ACCOUNTABILITIES &amp; ACTIVITIES
 
 
 
 
 Key Accountability Areas Key Activities
 
 
 
 
 Resource Planning
 
 
 
 &bull; Develop and implement advanced resource planning systems to monitor availability, utilisation, and capacity across personnel, facilities, and tools.
 
 
 &bull; Evaluate current capacities and projected demands to ensure proactive resource allocation.
 
 
 &bull; Collaborate with HR and project leads to identify and address skill gaps through targeted recruitment and secondments.
 
 
 &bull; Work with internal and external trainers to design and deliver training programs, ensuring staff are equipped with skills for current and emerging technologies.
 
 
 &bull; Regularly review and standardise resource evaluation criteria to align with organisational goals.
 
 
 
 
 
 
 Resource Management
 
 
 
 &bull; Control resource allocation to ensure projects are staffed and resourced efficiently, adjusting based on evolving priorities.
 
 
 &bull; Use real-time data insights to identify trends, inefficiencies, and opportunities for optimisation.
 
 
 &bull; Develop strategies to improve resource utilisation, reducing waste and improving cost-effectiveness.
 
 
 &bull; Provide recommendations to mitigate resource bottlenecks and gaps to avoid delays and disruptions.
 
 
 
 
 
 
 Management Accounting and Reporting
 
 
 
 &bull; Collaborate with the Innovation Head to develop and oversee the R&amp;D department&rsquo;s budget, ensuring alignment with financial and strategic goals.
 
 
 &bull; Prepare and present periodic financial reports to senior leadership, highlighting expenditure trends, potential cost savings, and investment opportunities.
 
 
 &bull; Track and analyse resource-related costs, linking them to project performance and outcomes for improved decision-making.
 
 
 
 
 
 
 Infrastructure Planning and Management
 
 
 
 &bull; Manage the acquisition, maintenance, and optimisation of tools, equipment, and facilities, ensuring alignment with R&amp;D project needs and compliance with industry standards.
 
 
 &bull; Facilitate the implementation of digital platforms and knowledge management systems to enhance collaboration, idea sharing, and project management.
 
 
 &bull; Support the establishment of infrastructure that enables rapid prototyping, testing, and validation of R&amp;D projects.
 
 
 &bull; Act as a liaison between the R&amp;D department and procurement teams to streamline infrastructure-related purchases.
 
 
 
 
 
 
 Policies, Processes and Procedures
 
 
 
 &bull; Support monitoring day-to-day activities to ensure compliance with stipulated policies and procedures.
 
 
 &bull; Contribute to the identification of opportunities for continuous improvement of systems and processes considering leading practices, changes in business environment, cost reduction and productivity improvement
 
</div>

Resource & Infrastructure Analyst

Islamic Development Bank (IsDB)

<div>
 Title: Lead Internal Auditor
 
 
 Requisition ID: 5714
 
 
 
 Overview
 
 
 
 
 Business Unit:
 
 President Complex
 
 Division:
 
 Operations Audit
 
 Department:
 
 Internal Audit Department
 
 Country:
 
 Saudi Arabia
 
 Location:
 
 Jeddah, HQ
 
 Job Grade:
 
 E4
 
 Contract Type:
 
 Fixed Term
 
 Closing Date:
 
 2-Dec-2025
 
 
 
 Job Purpose
 
 
 
 The role is responsible for the efficient development and execution IsDB&rsquo;s Operations audit plans, by reviewing the management processes, identifying any associated risks and evaluating internal controls in IsDB&rsquo;s operations units to assess their adequacy and effectiveness, ascertaining compliance with relevant policies, internal controls, procedures, legal agreements and applicable Management plans / decisions.
 
 
 
 Key Accountabilities
 
 
 
 
 Driving Operations Audit Activities:
 
 
 
 <ul>
 <li>
 Lead and coordinate the preparation of the operations audit plan including the update of the audit universe and risk assessment.
 </li>
 <li>
 Lead the execution of the audit plan, review management processes, and internal controls to assess their adequacy/ effectiveness for ensuring compliance with relevant policies, internal controls, procedures, standards, best practices and applicable Management plans/ decisions, covering IsDB operations project&rsquo;s cycle, disbursement including programming, preparation, appraisal, supervision, and impact evaluation, in order to ascertain whether controls operate effectively to ensure accountability for decision-making and implementation of decisions.
 </li>
 <li>
 Examine and evaluates processes and internal controls in IsDB&rsquo;s Operations units in the headquarters (lending, trade financing, etc.) to ascertain whether operational results are consistent with the Management&rsquo;s relevant plans and check compliance with relevant policies, procedures, and legal agreements.
 </li>
 <li>
 Liaise with IT Audit unit to collaboratively audit the auditee functions using IT automated systems and controls.
 </li>
 <li>
 Lead in the preparation of a concise and informative audit report to effectively communicate the findings and recommendations to IsDB&rsquo;s senior management.
 </li>
 <li>
 Review and assesses the operational activities effectiveness in Regional Hubs in areas such as procurement, disbursement, supervision, and other activities assigned to the Sub-Regions.
 </li>
 <li>
 Provide advice and recommendations to the Management on significant financial and control issues that may affect the outcome of the projects by reviewing the reports of external and governmental auditors.
 </li>
 <li>
 Lead the preparation of a concise and informative audit report to effectively communicate the findings and recommendations to the concerned functions and senior management.
 </li>
 <li>
 Ensure follow-up on IsDB Management&rsquo;s implementation of internal audit recommendations and Prepare reports implementation status to the President and the Audit Committee.
 </li>
 <li>
 Develop and maintain effective and professional working relationships with all levels of staff within IsDB, including Senior Management and Audit Committee of the Board.
 </li>
 <li>
 Conducts high level investigations of suspected internal fraud.
 </li>
 <li>
 Lead any special audit assignments or investigations mandated by the management.
 </li>
 <li>
 Provide necessary advisory services to institutions in IsDB Member Countries on issues related to internal audit as needed.
 </li>
 <li>
 Provide technical guidance and advice to the less experienced team members.
 
 
 </li>
 </ul>
 
 Operational Excellence
 
 
 
 <ul>
 <li>
 Ensure effective implementation and adherence to policies, procedures and controls so that all relevant procedural / professional requirements are fulfilled.
 </li>
 <li>
 Keep abreast of the latest developments, regulations and leading practices in the field and propose any necessary actions.
 </li>
 <li>
 Propose and implement process improvements to increase efficiency, effectiveness and compliance of the related business processes.
 
 
 </li>
 </ul>
 
 People Management
 
 
 
 <ul>
 <li>
 Provides motivational and inspirational leadership to the team members and communicates clear performance expectations.
 </li>
 <li>
 Coaches, mentors, develops and provides regular feedback to the team members on results at a function level, promptly addressing areas of improvement.
 </li>
 <li>
 Supports filling in key capability gaps of the team through capacity development and recruiting efforts.
 </li>
 <li>
 Acts as a role - model to communicate to the unit&rsquo;s staff IDB's values and leadership competencies and provides direction and support in times of change.
 
 
 </li>
 </ul>
 
 Academic And Professional Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Accounting/ Commerce/ Business Management or related discipline or Professional qualifications such as CA, ACCA, CPA, or CIA mandatory.
 </li>
 <li>
 Minimum 10 years of experience in audit or internal audit, in large organizations or audit firms, of which 3 years of managerial experience.
 </li>
 <li>
 Languages: English: Mandatory l Arabic: Preferred l French: Preferred
 
 
 </li>
 </ul>
 
 Skills &amp; Necessary Knowledge
 
 
 
 <ul>
 <li>
 Audit operations.
 </li>
 <li>
 Audit methodologies and processes.
 </li>
 <li>
 Corporate Governance.
 </li>
 <li>
 Internal Control and Compliance.
 </li>
 <li>
 Information Systems Audit.
 </li>
 <li>
 Fraud and corruption detection and investigation.
 </li>
 <li>
 Teamwork.
 </li>
 <li>
 Building Relationships.
 </li>
 <li>
 Client Centricity and Responsiveness.
 </li>
 <li>
 Motivation to Learn and Share.
 </li>
 <li>
 Adaptability.
 </li>
 <li>
 Analytical thinking.
 </li>
 <li>
 Problem solving.
 </li>
 <li>
 Attention to detail.
 </li>
 <li>
 Computer Assisted Audit Tools and Techniques (ACL, Process mining tools, Power-BI,).
 </li>
 <li>
 Report Writing.
 </li>
 <li>
 MS Office.
 
 
 </li>
 </ul>
 
 About Application Process
 
 
 
 If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application you would need the following document(s):
 
 
 <ul>
 <li>
 Resume/CV
 </li>
 <li>
 Copy of passport
 </li>
 <li>
 Academic certificate
 
 
 </li>
 </ul>
 If you are currently an IsDB Regular staff applying for this role and get selected through the competitive selection process; your current contract type and other terms and conditions will remain unchanged.
 
 
 The Islamic Development Bank (IsDB) does not ask for payments of any kind from applicants throughout the recruitment process (job application, CV review, interview meeting, and final processing of applications). In addition, the IsDB does not request information on applicants&rsquo; bank accounts. The IsDB declines all responsibility for the fraudulent publications of job posts or job offers in its name or, in general, for the fraudulent use of its name in any way whatsoever.
</div>

Lead Internal Auditor

Explore 265+ Senior staff data scientist recommendations personalization systems in Jeddah this December. Find roles across top companies and apply now to boost your career.

265 senior staff data scientist recommendations personalization systems jobs IN Jeddah

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Senior Backend Developer

Machine Learning Engineer

Senior / Staff Data Scientist - Generative AI

Resource & Infrastructure Analyst

Lead Internal Auditor