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senior data scientist

Qatar Foundation

<div>
 
 The Senior Data Scientist, Digital Delivery will be responsible to provide advanced analytics, predictive modelling, and data-driven insights to support QF&rsquo;s digital delivery initiatives. The role leverages statistical, machine learning, and AI techniques to inform decision-making, optimise operations, and enable innovation. The post holder will work closely with digital programme teams, business analysts, and solution architects to translate complex data into actionable intelligence, ensuring that QF&rsquo;s digital services are measurable, evidence-based, and aligned with enterprise strategy.
 
 
 
 
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Provide modelling, forecasting, and scenario analysis to inform digital delivery decisions.
 </li>
 <li>
 Design and deliver advanced analytics pipelines to support digital services and solutions.
 </li>
 <li>
 Apply machine learning and AI techniques to solve business challenges and improve service outcomes.
 </li>
 <li>
 Partner with digital programme teams, analysts, and architects to embed data science in solution delivery.
 </li>
 <li>
 Ensure data models and outputs are accurate, validated, and ethically applied.
 </li>
 <li>
 Share expertise in data science techniques and mentor colleagues on analytics best practice.
 </li>
 <li>
 Develop, train, and validate machine learning models to support digital transformation programmes.
 </li>
 <li>
 Build predictive models and dashboards to track adoption, performance, and impact of digital services.
 </li>
 <li>
 Translate business requirements into analytics solutions, ensuring outputs are practical and actionable.
 </li>
 <li>
 Support AI governance by documenting models, assumptions, and methodologies.
 </li>
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 Ensure compliance with QF data protection, information security, and AI governance frameworks.
 </li>
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 Provide thought leadership on emerging data science approaches, tools, and platforms.
 </li>
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 Collaborate with stakeholders to design data-driven solutions that align with QF&rsquo;s strategic priorities.
 </li>
 <li>
 Other reasonable tasks as assigned by Supervisor
 </li>
 </ul>
 
 
 
 
 
 Minimum Knowledge, Skills &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or related discipline. Masters/PhD preferred.
 </li>
 <li>
 8-10 years of relevant full-time work experience in data science or advanced analytics, with proven delivery of enterprise-level solutions, 3 of which at a supervisory level.
 </li>
 <li>
 Proficiency in statistical modelling, machine learning, natural language processing, and data visualisation. Skilled in tools such as Python, R, SQL, TensorFlow/PyTorch, and Power BI.
 </li>
 <li>
 Strong knowledge of data architecture, engineering pipelines, and cloud-based analytics platforms.
 </li>
 <li>
 Understanding of AI ethics, responsible AI, and compliance standards (e.g. ISO/IEC 42001).
 </li>
 <li>
 Ability to present complex insights in a clear, business-focused manner for senior stakeholders.
 </li>
 <li>
 Excellent oral and written communication skills with the ability to draft and edit a variety of written reports and communications and to articulate ideas clearly and concisely; Arabic proficiency is an advantage
 </li>
 <li>
 Proficiency in MS Office applications
 </li>
 </ul>
 
 
</div>

Senior Data Scientist, Digital Delivery

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
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 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
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 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
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 Facebook https://www.facebook.com/agodacareers/
 </li>
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 LinkedIn https://www.linkedin.com/company/agoda
 </li>
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 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Power International Holding

<div>
 
 We are looking for a Data Scientist to lead our data-driven initiatives and turn insights into measurable business value. You will analyze large and complex datasets, build predictive models, and work with business and IT teams to optimize processes, improve performance, and support strategic decisions. This role also involves guiding data strategy, identifying new datasets, and ensuring high-quality, reliable data for the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze complex datasets to uncover trends, patterns, and actionable insights.
 </li>
 <li>
 Develop, test, and deploy predictive models and machine learning algorithms.
 </li>
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 Collaborate with business and IT teams to implement data-driven solutions.
 </li>
 <li>
 Ensure data quality, governance, and accuracy across systems.
 </li>
 <li>
 Lead initiatives to integrate new datasets and enhance data capabilities.
 </li>
 <li>
 Communicate insights to stakeholders to support decision-making.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Requirements:
 
 
 <ul>
 <li>
 Strong expertise in data analysis, machine learning, predictive modeling, and statistical techniques.
 </li>
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 Experience with ERP systems (SAP preferred) and enterprise data architecture.
 </li>
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 Knowledge of risk analysis, process improvement, and system engineering.
 </li>
 <li>
 Leadership experience with ability to manage teams and projects.
 </li>
 <li>
 GCC experience is a plus.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Lead high-impact data initiatives that drive measurable business results.
 </li>
 <li>
 Collaborate across teams to influence strategic business decisions.
 </li>
 <li>
 Work in a dynamic, growing organization in the GCC region.
 </li>
 </ul>
 
 
</div>

Data Scientist

Protiviti Middle East Member Firm

<div>
 
 
 Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
 
 
 
 
 
 
 We are seeking an experienced Data Scientist / AI Engineer (4+ years overall experience) (Bilingual &ndash; Arabic &amp; English proficient) with deep hands-on expertise in designing and deploying Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) solutions on Microsoft Azure.
 
 
 
 
 
 The ideal candidate will have prior experience developing Chat-with-Documents or internal enterprise LLM based assistants using Azure OpenAI Service, Cognitive Search, and Azure Machine Learning, ideally within regulated or enterprise environments.
 
 
 
 
 
 The role involves building and optimizing GenAI-powered internal chatbots that enable employees to query organizational documents, policies, and knowledge bases through natural language queries.
 
 
 
 
 
 This position is based in Doha, with occasional travel to other Middle East client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
 </li>
 <li>
 Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
 </li>
 <li>
 Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
 </li>
 <li>
 Deploy and manage AI solutions.
 </li>
 <li>
 Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
 </li>
 <li>
 Ensure compliance with Responsible AI and data privacy frameworks.
 </li>
 <li>
 Collaborate with business and IT teams to align solutions with real use cases.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 4+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Proven experience of implementing at least one LLM based solution
 </li>
 <li>
 Must have worked on at least one of the the following use cases types &ndash; Predictive Modeling &amp; Classification , Simulation &amp; Optimization , Recommender Systems , Time Series Forecasting
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Must be bilingual (Arabic and English language proficiency)
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 </ul>
 
 
 
 
 
 Preferred Industry Experience
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Financial Services (Preferred) , Oil &amp; Gas , Manufacturing, Government/Citizen Services , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist / AI Engineer - Consultant to Senior Consultant (Arabic Speaker)

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking an experienced Lead Data Scientist to spearhead the development and deployment of data-driven solutions on our innovative digital platform in Doha, Qatar. In this pivotal role, you will apply advanced analytics, machine learning, and statistical modeling to derive actionable insights from complex datasets, directly influencing business strategy and enabling intelligent services. You will guide a team of data scientists, fostering a culture of innovation and continuous improvement. This position requires close collaboration with data engineering, architecture, and operations teams to operationalize models through robust MLOps practices. Your expertise will be crucial in managing the entire model lifecycle, from data preparation and model development to deployment, monitoring, and optimization, ensuring our solutions deliver sustained, measurable value.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 10+ years of professional experience in Data Science and Machine Learning roles.
 
 
 &rtrif; Proven track record of leading and mentoring data science teams.
 
 
 &rtrif; Advanced proficiency in Python and its data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
 
 
 &rtrif; Hands-on experience implementing CI/CD pipelines and MLOps using tools like MLflow, Databricks, and Microsoft Fabric.
 
 
 &rtrif; Deep understanding of the complete machine learning model lifecycle, including monitoring, A/B testing, and performance tracking.
 
 
 &rtrif; Expertise in statistical modeling, predictive analytics, and experimental design.
 
 
 &rtrif; Significant experience building large-scale analytical solutions with cloud platforms, specifically Azure Synapse Analytics, Azure Stream Analytics, and Azure HDInsight.
 
 
 &rtrif; Strong background in the IoT domain, with exposure to smart city or infrastructure analytics.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Master&rsquo;s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
 
 
 &rtrif; Demonstrated ability to translate complex analytical concepts into actionable business insights for non-technical stakeholders.
 
 
 &rtrif; Experience working closely with Data Governance and Architecture teams to ensure model compliance and integration.
 
 
 &rtrif; Creative problem-solving skills with a history of developing innovative analytical methodologies.
 
 
 &rtrif; Strong business acumen with the ability to align data science initiatives with strategic KPIs.
 
</div>

Lead Data Scientist

Ooredoo Group of Companies

<div>About Us: 
Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!
About the Business Unit: 
The Technology Unit within Ooredoo is the backbone of the organization providing all technology services which enable Ooredoo to deliver its services to its customers across all technology platforms, 24/7/365. In other words, it's responsible for the management of all Ooredoo networks, technology infrastructure/ platforms and processes to achieve fast time-to-market, high operational efficiency, and support product/ service innovation, and ultimately drive the financial performance of Ooredoo. The department supports this through the effective management, operation and maintenance including new products and change requests for all BSS &amp; OSS applications and platforms, working to further connect and integrate BSS with OSS in the new IT architecture and ensuring Ooredoo customers have full use of all services 24/7.
About the Role: 
The role is responsible for the technical leadership, architecture, and delivery of all AI-related initiatives, with a particular emphasis on agentic AI systems, multi-cloud platform deployments, and automated evaluation and tuning of AI solutions. Ensures the adoption of state-of-the-art AI/ML, generative AI, and agentic AI technologies, and drives the company's Technical AI strategy and roadmap. Will own and architect scalable, distributed AI solutions, guide teams on advanced AI frameworks, and ensure alignment with business objectives and industry standards. For more details, please click here.
About You:<ul><li> 
10 years' experience in a similar role.
</li><li>Minimum 5 years of hands-on experience in AI/ML, generative AI, and agentic AI, data management, preferably in the telco or related domains Experience in Telecom or IT.
</li><li>Proven experience designing and deploying scalable agentic AI architectures in distributed and multi-cloud environments (GCP, Azure, AWS, hybrid).
</li><li>Practical experience with advanced AI systems (Agent Space, Copilot, etc.), frameworks (ADK, Lang Chain, Graph Chain, Ray, MLflow, Hugging Face, OpenAI, etc.) and MCP protocol
</li><li>Demonstrated experience with automated evaluation and tuning of AI systems Strong coding skills in Python (and optionally other languages such as R, Java, or Scala). Practical knowledge of MLOps/DevOps, CI/CD for AI, and model/agent lifecycle management. Experience with data engineering, data governance, and integrating AI with enterprise and network systems.</li></ul></div>

Senior Specialist AI

<div>
 
 
 Value Realization Lead &ndash; Data Scientist
 
 
 
 
 Job Summary
 
 
 
 Lead the development and execution of value-realization frameworks across the organization. Drive measurable business outcomes through data-driven insights, SAP value mapping, KPI frameworks, and strategic performance tracking. Ensure that transformation initiatives deliver quantifiable value in cost, revenue, efficiency, and strategic impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Value Framework &amp; Business Modelling
 
 
 <ul>
 <li>
 Build and maintain standardized value-realization models across industries and business units.
 </li>
 <li>
 Map each business into industry-specific value drivers, benchmarks, and KPI structures.
 </li>
 <li>
 Translate corporate strategic goals into actionable KPIs, targets, and measurable outcomes.
 </li>
 <li>
 Develop end-to-end Value Trees that link operational KPIs to financial impact.
 </li>
 </ul>
 
 
 SAP Value &amp; System Integration
 
 
 <ul>
 <li>
 Identify SAP modules, processes, and data points influencing business value creation.
 </li>
 <li>
 Use SAP operational statistics (T-Codes, subprocess cycles, workflow analytics) to identify bottlenecks and improvement areas.
 </li>
 <li>
 Track and scorecard key SAP-related transactions that impact process efficiency, cost, or revenue.
 </li>
 </ul>
 
 
 Value Measurement &amp; Reporting
 
 
 <ul>
 <li>
 Conduct value realization assessments covering cost savings, revenue uplift, productivity, and cycle-time reduction.
 </li>
 <li>
 Establish a governance mechanism to continuously monitor, validate, and report value.
 </li>
 <li>
 Build dashboards and scorecards to visualize value metrics and performance outcomes.
 </li>
 <li>
 Partner with business leadership to validate benefits, track adoption, and mitigate value leakage.
 </li>
 </ul>
 
 
 Data Analytics &amp; Insights
 
 
 <ul>
 <li>
 Perform advanced data analysis to quantify business value opportunities.
 </li>
 <li>
 Build predictive or statistical models where required to support value estimates.
 </li>
 <li>
 Extract insights from cross-functional datasets to support decision-making, prioritization, and investment cases.
 </li>
 </ul>
 
 
 Stakeholder Management
 
 
 <ul>
 <li>
 Work directly with business leaders, project managers, SAP teams, and finance to align value targets and tracking.
 </li>
 <li>
 Deliver customer-facing presentations, value reports, and executive summaries.
 </li>
 </ul>
 
 
 Job Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Strong understanding of
 
 SAP
 
 (S/4HANA, ECC, SAP Analytics Cloud) and integration across modules.
 </li>
 <li>
 Ability to interpret SAP process metrics, T-Code execution patterns, and process cycle analytics.
 </li>
 <li>
 Solid knowledge of
 
 value frameworks
 
 , business modelling, OKRs, KPIs, and performance scorecards.
 </li>
 <li>
 Strong
 
 data analytics
 
 skills (SQL, Python, or equivalent analytical tools preferred).
 </li>
 <li>
 Ability to quantify value across cost, revenue, efficiency, and quality metrics.
 </li>
 <li>
 Experience with enterprise architecture or business process architecture is an advantage.
 </li>
 <li>
 Strong communication skills with customer-facing experience.
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 
 Minimum 8 years
 
 total experience, including
 
 5 years in a supervisory / lead role
 
 .
 </li>
 <li>
 Experience in
 
 Value Realization, Data Analytics, SAP functional roles, Enterprise Architecture, or Business Transformation
 
 .
 </li>
 <li>
 
 2 years of GCC experience
 
 is preferred.
 </li>
 </ul>
 
 
</div>

Value Realization Lead

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