lead data scientist - integrity & safety Jobs in Jeddah Saudi Arabia January 2026 Start Asq International Jobs In Jeddah Saudi Arabia

lead data scientist - integrity & safety

lead/ staff data scientist (bangkok based, relocation provided) Jobs in Jeddah Saudi Arabia January 2026 Start Asq International Jobs In Jeddah Saudi Arabia

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

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senior data scientist Jobs in Jeddah Saudi Arabia January 2026 Start Asq International Jobs In Jeddah Saudi Arabia

senior data scientist

lead data scientist integrity safety

SALLA

<div>Protect millions of buyers and sellers as our Senior Data Scientist for Integrity &amp; Trust. You'll lead building the AI defense systems that detect fraud, eliminate counterfeit products, and maintain marketplace quality across our platform. In MENA's high-COD environment (75% of transactions), trust is everything. Your models will be the difference between platform growth and reputation damage.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li><ul>
<li>Build and deploy supervised and unsupervised ML models for policy violation detection, counterfeit detection, and fraud detection.</li>
<li>Build and grow the Integrity, Safety &amp; Trust pod, mentor applied data scientists and deliver end-to-end projects with measurable business outcomes.</li>
<li>Design feature pipelines that leverage product text, images, seller behavior, and transaction data.</li>
<li>Apply NLP models for text classification, entity extraction, and multi-lingual moderation (Arabic + English).</li>
<li>Utilize multimodal architectures (CLIP, ViT + BERT) for image&ndash;text cross-validation.</li>
<li>Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity.</li>
<li>Collaborate with product, legal, and operations teams to define integrity policies and feedback loops.</li>
<li>Implement dashboards and monitoring for real-time detection and escalation (e.g., Elastic, Grafana).</li>
<li>Optimize model precision/recall tradeoffs based on enforcement and user experience goals.</li>
Familiarity with graph learning, anomaly detection, and multimodal data pipelines. 
<li>
</li>
</ul></li></ul>Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li>
<li>5+ years of experience in applied ML, with at least 2+ years focused on Trust &amp; Safety, Integrity, or Fraud Detection systems.</li>
<li>Experience with multi-modal text-image modeling (e.g., OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation.</li>
<li>Strong proficiency in Python, SQL, and ML libraries such as PyTorch, Transformers, Scikit-learn, and OpenCV.</li>
<li>Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent).</li>
<li>Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is a plus.</li>
<li>Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes.</li>
<li>Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact.</li>
</ul>
Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Lead Data Scientist - Integrity & Safety

Salla

<div>
 Protect millions of buyers and sellers as our Senior Data Scientist for Integrity &amp; Trust. You'll lead building the AI defense systems that detect fraud, eliminate counterfeit products, and maintain marketplace quality across our platform. In MENA's high-COD environment (75% of transactions), trust is everything. Your models will be the difference between platform growth and reputation damage.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy supervised and unsupervised ML models for policy violation detection, counterfeit detection, and fraud detection
 </li>
 <li>
 Build and grow the Integrity, Safety &amp; Trust pod, mentor applied data scientists and deliver end-to-end projects with measurable business outcomes
 </li>
 <li>
 Design feature pipelines that leverage product text, images, seller behavior, and transaction data
 </li>
 <li>
 Apply NLP models for text classification, entity extraction, and multi-lingual moderation (Arabic + English)
 </li>
 <li>
 Utilize multimodal architectures (CLIP, ViT + BERT) for image-text cross-validation
 </li>
 <li>
 Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity
 </li>
 <li>
 Collaborate with product, legal, and operations teams to define integrity policies and feedback loops
 </li>
 <li>
 Implement dashboards and monitoring for real-time detection and escalation (e.g., Elastic, Grafana)
 </li>
 <li>
 Optimize model precision/recall tradeoffs based on enforcement and user experience goals
 </li>
 <li>
 Familiarity with graph learning, anomaly detection, and multimodal data pipelines
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 5+ years of experience in applied ML, with at least 2+ years focused on Trust &amp; Safety, Integrity, or Fraud Detection systems
 </li>
 <li>
 Experience with multi-modal text-image modeling (e.g., OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation
 </li>
 <li>
 Strong proficiency in Python, SQL, and ML libraries such as PyTorch, Transformers, Scikit-learn, and OpenCV
 </li>
 <li>
 Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent)
 </li>
 <li>
 Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is a plus
 </li>
 <li>
 Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes
 </li>
 <li>
 Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

<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>

Senior Data Scientist

TXM Solutions

<div>
 
 Commercial Manager
 
 
 Department: Commercial
 
 
 Reporting to: Director / Commercial Director
 
 
 
 
 
 Position Overview
 
 
 
 
 
 Responsible for overseeing all commercial aspects of post-contract project execution,
 
 
 including cost control, contract administration, payment applications, subcontractor
 
 
 certifications, variation management, and commercial reporting. Ensures financial integrity
 
 
 and contractual compliance across all projects.
 
 
 
 
 
 Core Job Functions
 
 
 &bull; Contract Administration: Manage contract obligations, variations, claims, and commercial
 
 
 correspondence.
 
 
 &bull; Cost Monitoring: Track project budgets, forecast expenditures, and identify cost-saving
 
 
 opportunities.
 
 
 &bull; Valuations: Prepare and certify interim and final payment applications for clients and
 
 
 subcontractors.
 
 
 &bull; Claims Management: Lead negotiation and resolution of claims, ensuring ,timely and
 
 
 commercially sound outcomes.
 
 
 &bull; Final Account Preparation: Reconcile and close out project accounts with clients and
 
 
 subcontractors.
 
 
 &bull; Reporting: Deliver accurate commercial reports, cost-to-complete forecasts, and financial
 
 
 dashboards.
 
 
 &bull; Collaboration: Interface with project teams, procurement, finance, and legal to ensure
 
 
 commercial alignment.
 
 
 
 
 
 Selection Requirements
 
 
 &bull; Appointment at the discretion of Senior Management.
 
 
 &bull; Degree in Quantity Surveying, Construction Economics, or related MEP field.
 
 
 &bull; Minimum 5 years of commercial management experience in the construction sector.
 
 
 
 
 
 Core Values
 
 
 &bull; Prioritize health and safety in all commercial operations.
 
 
 &bull; Uphold respect, integrity, and professionalism in all dealings.
 
 
 &bull; Communicate clearly and effectively with internal and external stakeholders.
 
 
 &bull; Foster teamwork and build trust-based relationships.
 
 
 &bull; Honor commitments and deliver results with accountability.
 
 
 &bull; Demonstrate initiative, ownership, and continuous improvement.
 
 
 &bull; Maintain high standards in documentation, reporting, and conduct.
 
 
 &bull; Engage in personal development and contribute to team growth.
 
 
 
 
 
 KPI&rsquo;s &amp; BSC
 
 
 &bull; Manage inspection-related commercial deliverables.
 
 
 &bull; Monitor monthly cost per inspection and cost recovery.
 
 
 &bull; Maintain accurate commercial documentation and records.
 
 
 &bull; Control and report on commercial variables and risk exposure.
 
 
 &bull; Align QA/QC, planning, and HSE requirements with commercial objectives.
 
 
 &bull; Exhibit leadership traits including integrity, courage, and strategic alignment.
 
 
 &bull; Demonstrate strong commercial acumen, MEP understanding, and delivery focus.
 
 
 Duties &amp; Responsibilities
 
 
 Commercial Oversight
 
 
 &bull; Lead all commercial activities in accordance with company policy.
 
 
 &bull; Ensure ,timely submission of payment applications and compliance with contract terms.
 
 
 &bull; Maintain variation logs, cost reports, and commercial registers.
 
 
 &bull; Provide guidance on resolving commercial discrepancies and disputes.
 
 
 &bull; Implement commercial controls and assurance procedures.
 
 
 Human Resource Interface
 
 
 &bull; Support commercial team performance, motivation, and discipline.
 
 
 &bull; Ensure compliance with labor cost controls and commercial HR policies.
 
 
 &bull; Participate in safety and performance reviews with site teams.
 
 
 &bull; Promote commercial awareness and training across project teams.
 
 
 
</div>

Commercial Manager

KEO International Consultants

<div>Overview:
<div>
KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration &ndash; through conceptualization &ndash; to realization of planning, design or project delivery in the built and natural environments. For over 60 years we&rsquo;ve led with vision, contributing to many of the world&rsquo;s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</div><div></div><div> 
As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey.</div><div></div><div> 
We invite you to join us. Why?</div><div></div><div> 
When you join KEO, you&rsquo;ll discover more than just a job &ndash; you&rsquo;ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.</div>
Responsibilities:
<div>
Our newest opportunity is for a talented Structural Engineer to join our award winning team in Riyadh, Saudi. This critical role will be responsible for undertaking inspections on site in accordance with the civil related Inspection and Test Plans (ITP's)</div> 
<div></div><ul><li>
Develop and maintain professional and meaningful relationships with the client to ensure program and project requirements are being satisfied.</li><li>
Ensure the delivery of the contracted Design and Construction Management services to the client.</li><li>
Manage and direct the development and maintenance of the program and project schedules for all phases of the project including procurement, planning, design and construction.</li><li>
Lead the design, analysis, and modeling of complex structural systems for a variety of projects, including buildings, bridges, and other infrastructure, ensuring that they meet safety, durability, and performance standards.</li><li>
Perform detailed structural calculations and simulations to ensure the safety, stability, and efficiency of designs under various load conditions (e.g., seismic, wind, live loads).</li><li>
Collaborate closely with architects, MEP engineers, and other disciplines to integrate structural systems with overall building designs and ensure coordination across all aspects of the project.</li><li>
Offer technical support to contractors during the construction phase, reviewing shop drawings, responding to RFIs (Requests for Information), and resolving design-related issues on-site.</li><li>
Collaborate with project managers to estimate costs for structural work, assist in budgeting, and find cost-effective solutions while maintaining the quality and integrity of the design.</li><li>
Communicate directly with clients, stakeholders, and regulatory authorities to present design proposals, address concerns, and ensure that all parties are aligned on project objectives and progress</li></ul>
Qualifications:
<div>
To be successful in this dynamic opportunity, we envision that your career journey to date will include 10+ years work experience partnered with a Bachelor degree in Architecture or Civil Engineering. Experience gained from working on a major Hospitality resort project is looked for.</div><div></div><div> 
KEO&rsquo;s performance is founded upon integrity, results, innovation, safety and our people. We embrace diversity and recognise its&rsquo; contribution to client success wherever we work.</div><div></div> 
We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.</div>

Civil/ Structural Engineer

Shear International Co. Ltd

✅ Quality Assurance &amp; Control🔧 Quality Management System•Lead the implementation, maintenance, and continuous improvement of QMS as per ISO 9001 or equivalent.•Establish and regularly update SOPs, inspection protocols, and quality control plans across all foundry operations.•Plan and lead internal audits, customer audits, and third-party certification audits.📊 Inspection &amp; Testing Oversight•Oversee raw material, in-process, and final product inspections.•Approve and review inspection reports, test certificates, and dimensional reports.•Ensure availability and calibration of all inspection and testing equipment (e.g., hardness testers, gauges, CMM, NDT tools).🧾 Customer Quality Assurance•Act as the primary liaison with customers for quality complaints, audits, and quality documentation.•Drive root cause analysis and close out of customer complaints and non-conformities (NCRs).•Lead First Article Inspections (FAI), PPAP submissions, and pre-dispatch inspections.🔍 Defect &amp; Scrap Analysis•Analyze casting defects and rejections and lead cross-functional teams for corrective actions.•Maintain casting defect Pareto charts and drive actions to reduce internal rejection and customer return rates.________________________________________🛡️ Health, Safety &amp; Environment (HSE)🚧 Occupational Safety Management•Develop, implement, and enforce workplace safety policies and procedures based on OSHA/NEBOSH or equivalent standards.•Conduct regular safety audits, risk assessments, and job safety analysis (JSA).•Ensure availability and correct usage of PPE and conduct toolbox talks.🌱 Environmental Compliance•Monitor air emissions, noise, and waste disposal as per local environmental laws.•Coordinate with external agencies for environmental impact assessments (EIA) or compliance checks.•Promote resource conservation (e.g., water, energy, raw materials).📋 Incident Management &amp; Reporting•Investigate all incidents, near misses, and injuries, and document root cause findings and preventive measures.•Maintain updated safety logs, MSDS, and emergency response procedures.•Report to management and regulatory bodies as required.👨‍🏫 HSE Training &amp; Awareness•Conduct induction training for new hires and routine HSE training for staff and contractors.•Lead fire drills, emergency preparedness programs, and safety campaigns.•Promote a safety-first culture throughout the organization.________________________________________🤝 Cross-Functional Collaboration•Coordinate with Production, Maintenance, Planning, and Supply Chain teams to ensure quality and safety at every stage.•Work with HR to ensure training compliance and worker health monitoring.•Participate in project planning, new process development, and investment proposals from the QA/HSE perspective.📌 Qualifications &amp; Requirements:•Bachelor’s degree in mechanical/metallurgical/industrial engineering or related field; Safety Certifications (NEBOSH, IOSH, OSHA) preferred.•8+ years of combined QA/QC and HSE experience, with at least 3 years in a managerial role in a foundry or heavy manufacturing environment.•Strong knowledge of casting processes (sand casting, shell mold, induction furnace) and quality tools (SPC, FMEA, CAPA, 8D).•Familiarity with ISO 9001, ISO 14001, and ISO 45001 systems.•Hands-on experience in managing audits, safety inspections, and defect analysis.•Excellent leadership, problem-solving, and cross-functional coordination skills.•Proficiency in MS Office, ERP systems, and quality data analysis tools.&nbsp;

Quality & HSE Manager

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Lead Data Scientist - Integrity & Safety

Lead Data Scientist - Integrity & Safety

Senior Data Scientist

Commercial Manager

Commercial Manager

Civil/ Structural Engineer

Quality & HSE Manager