lead data scientist - integrity & safety Jobs in Jeddah

lead data scientist - integrity & safety

senior data scientist

ai research lead

ai researcher

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

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

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.
 
 
 
 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

<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>

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

Sephora

<div>At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential and making a difference every day. Together, we belong to something beautiful. Since its inception in 1969 in Limoges, France, and as part of the LVMH Group since 1997, Sephora has been disrupting the prestige beauty retail industry. Today, Sephora continues to break with convention to drive its mission: champion a world of inspiration and inclusion where everyone can celebrate their beauty. With 56,000 employees in 35 countries, we connect customers and beauty brands within the world&rsquo;s most passionate beauty community. With a curation of nearly 500 brands, and our own label, Sephora Collection, we offer the most unique and diverse range of products: fragrances, makeup, hair care, skincare... and much more. 
REPORTING TO: Demand &amp; Supply Planning Manager 
POSITION PURPOSE: To ensure full product availability across all KSA stores by owning the local deployment of inventory from the KSA warehouse to stores, managing replenishment system parameters and acting as the on-ground representative of the regional supply chain function. This role acts as a critical operational extension of the central planning team, translating demand plans into daily stock deployment execution within the KSA territory.<div></div><div> 
KEY RESPONSIBILITIES:</div>
Store Deployment Planning (KSA)<ul><li>
Plan and execute warehouse-to-store replenishments for all KSA retail and Ecom locations.</li><li>
Ensure correct product flows in accordance with centrally driven supply plans.</li><li>
Continuously adjust deployment based on sell-through, local animation, pop-ups, events, and priority needs.</li></ul><div> 
Replenishment Parameter Management</div><ul><li>
Maintain and monitor store-level planning parameters in RELEX (e.g., safety stock, lead times, presentation stock, order parameters).</li><li>
Fine-tune system settings based on performance, store profile, and local demand behavior.</li></ul><div> 
Inventory Optimization &amp; Control</div><ul><li>
Track inventory levels and stock aging in the KSA warehouse and stores.</li><li>
Ensure optimal inventory health by avoiding overstock, stock-outs, or unbalanced distribution within the network.</li><li>
Conduct root-cause analysis for availability issues and recommend local interventions.</li></ul><div> 
Execution &amp; Local Coordination</div><ul><li>
Coordinate daily with the KSA warehouse and logistics teams to monitor delivery execution.</li><li>
Manage order creation, shipment visibility, and stock receipt confirmations.</li><li>
Escalate and solve local operational constraints impacting product availability.</li></ul><div> 
Local Supply Chain Planning Representation</div><ul><li>
Represent supply chain planning in KSA market-level meetings and activities.</li><li>
Provide local feedback to central planning on new product launches, market trends, and promotional impacts. Play the role of extended arm of central planning in KSA.</li><li>
Act as the voice of stores in ensuring demand priorities and product flows are aligned to customer expectations and feedback loop with central team is maintained for quick actions and corrections.</li></ul><div> 
System &amp; Data Integrity</div><ul><li>
Ensure RELEX and related systems reflect real-time accurate data for all KSA stores.</li><li>
Own data accuracy in Relex for store/WHS settings in coordination with central planning.</li></ul><div> 
Performance Reporting &amp; Improvement</div><ul><li>
Track local KPIs: store availability, replenishment accuracy, inventory cover.</li><li>
Contribute to continuous improvement initiatives and reporting insights to central teams.</li></ul><div> 
Key Interfaces</div><ul><li>
Local Management.</li><li>
Central Demand &amp; Supply Planning (UAE): Align on forecast for KSA stores, stock flow and inbound shipments to KSA WH.</li><li>
Logistics Operations (KSA): Stock movement, order dispatches, aging management.</li><li>
Store Operations: Availability, replenishment issues, feedback loops.</li><li>
IT / Master Data Teams: System settings, RELEX integrity.</li></ul> 
DO NOT HESITATE TO APPLY IF YOU HAVE:<ul><li>
Bachelor&rsquo;s degree in Supply Chain, Logistics, Business, or related field.</li><li>
3&ndash;5 years in supply planning or inventory management, preferably in retail or FMCG.</li><li>
Proficiency in planning tools (RELEX, SAP, Oracle, etc.) and Microsoft Excel/Power BI.</li><li>
Strong communication, cross-functional collaboration, and stakeholder management.</li><li>
Analytical Thinking, Problem Solving and Attention to Detail.</li><li>
Ownership &amp; Execution Focus.</li><li>
Supply Chain Systems Knowledge.</li><li>
Collaborative Communication.</li><li>
Responsiveness to Operational Dynamics.</li></ul><div> 
Here, you will find:</div><ul><li>
Community: In which authenticity is embraced, and the strength of our differences fuels our collective spirit.</li><li>
Culture of Empowerment: Learning &amp; growth, that offers you the tools, space and opportunity to learn, innovate and lead.</li><li>
Work that Brings Fulfilment: From delighting clients every day, to inspiring our industry at large, every action makes a difference.</li></ul><div></div><div> 
Join us and belong to something beautiful</div></div>

Supply Planner

Big Fish Recruitment

The Role
 Title: ICT Operation Manager Reports to: Head of ICT Infrastructure & Network Department Location: Makkah, KSA Role Purpose Own day-to-day operations of the ICT infrastructure (Data Center, Core Network, ELV/Smart-City systems) to deliver high availability, security compliance (NCA), and SLA attainment. Key Responsibilities • ITIL Service Operations: Run Incident/Problem/Change/Release, Capacity & Availability, Service Continuity processes. • NOC /SOC Operations: End-to-end service monitoring & alerting (network/servers/apps/ELV), reduce MTTD/MTTR via unified monitoring, on-call playbooks, and automated remediation, Coordinate with Cybersecurity (SOC/SIEM), patch/vulnerability management, IAM/MFA, and NCA/ISO27001 compliance, • Network & Wireless: Operate core/distribution/edge (QoS, VLAN/VRF segmentation, BGP/OSPF), Wi-Fi, and maintain config/backup baselines and change windows. • Data Center Operations: Backup/restore, quarterly DR tests, virtualization & storage operations, capacity planning, and emergency procedures. • ELV systems Operations: (CCTV, Access Control, PAS, FAS, BMS, PLC, Digital Signage/VMS, etc.). • Telecom & Contractors Coordination: Work with telecom service providers (Neutral Host/DAS for GSM/4G/5G, fiber) and ICT contractors to ensure service readiness and resilience. • BCP (Business Continuity Plan)/H&S (Health & Safety): Lead technical incident response and conduct biannual tabletop drills to ensure BCP/H&S readiness. • Vendors & SLAs: Manage contract performance, spares, escalation paths, and align maintenance with approved change windows. • Reporting & CSI) Continual Service Improvement (: Produce monthly service KPIs and drive a data-led Continual Service Improvement roadmap.
 
Requirements
 <ul>
<li>Education/Experience: BSc in Eng./CS/IT; • 8–12 years in Data Center/Network operations, • 3+ years in team leadership. • Technical Competencies: Routing/Switching (BGP/OSPF), Wi-Fi, NG firewalls, virtualization (VMware/Hyper-V), storage & backups, monitoring (SNMP/flow/logs). Hands-on exposure to cybersecurity operations, ELV systems, and telecom services (GSM/4G/5G, fiber). • Languages: Arabic and English fluency. • Preferred certs: ITIL v4, CCNP/CCIE, Fortinet/Palo Alto, VMware VCP, Microsoft/Red Hat, ISO/IEC 27001 LI/LA; familiarity with Saudi NCA cybersecurity frameworks.</li>
</ul>
About the company
 Service Our aim is to provide our clients and candidates with a consistent, quality service that goes beyond the norm, giving them peace of mind and complete trust in our ability to meet their needs. Knowledge Big Fish consultants specialise in their fields and have extensive experience in the region and beyond. We take pride in our knowledge and network and believe that our relationships are built on trust and integrity and are made for the long term. Care At Big Fish, as well as caring for the people we work with, we also care about the world and environment we live in, that's why Big Fish support initiatives that promote human welfare, environmental protection and sustainability.

ICT Operation Manager

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325 lead data scientist integrity safety jobs IN Jeddah

Lead Data Scientist - Integrity & Safety

Lead Data Scientist - Integrity & Safety

Senior Data Scientist

Senior Data Scientist

Commercial Manager

Supply Planner

ICT Operation Manager