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lead data scientist - integrity & safety Jobs in Saudi Arabia

lead data scientist - integrity & safety

lead ds (data scientist) bangkok based, relocation provided Jobs in Saudi Arabia

lead ds (data scientist) bangkok based, relocation provided

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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>

Emdad By Elm

<div>
 
 
 Job Description:
 
 
 
 
 
 
 The Senior Data Scientist plays a pivotal role in the organization's data-driven strategy by leading the development and implementation of advanced predictive models and algorithms tailored to support operational excellence. This senior-level position requires a strategic thinker committed to ensuring that work aligns with approved policies and methodologies while advocating for continuous improvement initiatives to enhance system efficiency and productivity. The incumbent will conduct thorough exploratory data analyses and feature engineering to elevate model accuracy, while collaborating with cross-functional teams to ensure compliance with regulatory standards governing data integrity and security. Additionally, the Senior Data Scientist will identify labor market trends and develop insightful analytics that predict future workforce needs, effectively translating complex findings into accessible reports, presentations, and visual illustrations for stakeholders. Establishing and maintaining stringent data quality standards, the role involves monitoring compliance, implementing preventive measures, and preparing detailed reports that foster knowledge transfer and organizational learning
 
 .
 
 
 
 
 
 
 
 Job Requirements:
 
 
 
 
 
 <ul>
 <li>
 A Bachelor&rsquo;s degree in Data Science, Statistics, or a related field is mandatory.
 </li>
 <li>
 A minimum of 8&ndash;10 years of relevant experience in Data Science or related disciplines, showcasing progressive responsibility in analytics roles.
 </li>
 <li>
 Proven track record of developing and deploying predictive models and machine learning algorithms in a business context.
 </li>
 <li>
 Demonstrated expertise in conducting exploratory data analysis (EDA) and feature engineering to enhance model performance and insights.
 </li>
 <li>
 Strong knowledge of data governance frameworks, ensuring compliance with regulatory standards related to data integrity and security.
 </li>
 <li>
 Experience in performing advanced analytics to derive actionable insights on labor market trends, workforce forecasting, and economic impacts.
 </li>
 <li>
 Ability to distill complex data sets into clear and compelling presentations and reports tailored for diverse audiences.
 </li>
 <li>
 Familiarity with statistical software tools and programming languages (e.g., Python, R, SQL) relevant to data manipulation and analysis.
 </li>
 <li>
 Strong problem-solving mindset and a continuous improvement orientation, with experience in establishing and monitoring data quality standards.
 </li>
 <li>
 Excellent communication skills, both written and verbal, with the ability to mentor and transfer knowledge effectively to other team membe
 
 rs.
 
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of predictive models and algorithms that align with organizational objectives.
 </li>
 <li>
 Conduct comprehensive exploratory data analysis and complex feature engineering to maximize the performance of analytical models.
 </li>
 <li>
 Ensure compliance with approved work policies and procedures while advocating for continuous improvement initiatives across data processes.
 </li>
 <li>
 Oversee the maintenance of data integrity, quality, and security in accordance with regulatory requirements and company standards.
 </li>
 <li>
 Review and act upon advanced analytics outputs, identifying emerging labor market trends and predicting future workforce demands.
 </li>
 <li>
 Present analytical findings and recommendations through detailed reports and visualizations, effectively communicating insights to stakeholders.
 </li>
 <li>
 Establish and enforce policies and procedures related to data quality standards and continuously monitor compliance with these standards.
 </li>
 <li>
 Define actionable plans for data quality tasks and implement strategies for proactive improvements to mitigate potential data quality issues.
 </li>
 <li>
 Prepare regular reports on data quality metrics for data providers, ensuring transparency and accountability in data management practices.
 </li>
 <li>
 Facilitate knowledge transfer sessions to educate employees on approved work policies, procedures, and effective data practices.
 </li>
 </ul>
</div>

Senior Data Scientist

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Data Scientist

<div>
 
 
 Job Description:
 
 
 
 The Data Scientist will play a pivotal role in transforming business objectives into actionable data-driven insights. This mid-career position demands a proactive individual equipped with strong analytical capabilities, programming proficiency, and a deep understanding of statistical modeling. The successful candidate will leverage large datasets to address complex business challenges, utilizing machine learning algorithms, data mining techniques, and predictive analytics. The candidate will also engage in cross-functional collaborations, presenting findings to stakeholders, and effectively communicating technical concepts to non-technical audiences. Continuous learning and adaptation to emerging technologies will be essential to enhance the organization's data analytics framework.
 
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 3+ years in data science/analytics with large datasets.
 </li>
 <li>
 Proficiency in Python/R/SQL; strong statistics and hypothesis testing.
 </li>
 <li>
 Hands-on ML (classification/regression/clustering) with models deployed to production and iteratively improved.
 </li>
 <li>
 Data visualization for decision-making (Tableau/Power BI/Matplotlib).
 </li>
 <li>
 Strong communication skills for non-technical audiences.
 </li>
 <li>
 Nice to have: Cloud (AWS/GCP/Azure) and/or Big Data (Hadoop/Spark).
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Build ML models; run EDA to uncover patterns and anomalies.
 </li>
 <li>
 Partner with Product/IT/Business to define analytics objectives.
 </li>
 <li>
 Deliver interactive dashboards and KPIs for leadership.
 </li>
 <li>
 Improve data capture quality; document methods and results.
 </li>
 <li>
 Mentor junior team members; adopt emerging best practices.
 </li>
 <li>
 Ensure data privacy/ethics and help evaluate analytics tools.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Python/R with pandas, NumPy, scikit-learn.
 </li>
 <li>
 SQL, database querying/extraction.
 </li>
 <li>
 Deep learning frameworks (TensorFlow/Keras) for advanced use cases.
 </li>
 <li>
 Basic project management: prioritization, timelines, deadlines.
 </li>
 <li>
 High integrity and confidentiality with sensitive data.
 </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>

atmaal

<div>
 <ul>
 <li>
 
 Data Scientist
 
 </li>
 </ul>
 
 
 
 
 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
 <ul>
 <li>
 
 Department
 
 </li>
 </ul>
 
 
 
 
 Digital (Advanced Analytics CoE)
 
 
 
 
 <ul>
 <li>
 
 Years of Experience
 
 </li>
 </ul>
 
 
 
 
 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
 <ul>
 <li>
 
 Key Responsibilities
 
 </li>
 </ul>
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
 ⸻
 
 
 
 
 
 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
</div>

Explore 3105+ Lead data scientist integrity safety in Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

3105 lead data scientist integrity safety jobs IN Saudi Arabia

Lead Data Scientist - Integrity & Safety

Lead Data Scientist - Integrity & Safety

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