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data architect/ data scientist - qatar

data scientist

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a detail-oriented and analytical Data Scientist to join our Data Governance team. In this role, you will be pivotal in enhancing our data quality, integrity, and accessibility. You will apply your expertise in data preparation, profiling, and quality analysis to identify anomalies and translate findings into actionable improvements. Your work will involve writing complex SQL queries to profile datasets across multiple systems and automating analytical workflows using Python and APIs. A key responsibility will be supporting the adoption and utilization of our Data Governance Platform, Collibra, by providing data-driven insights. You will also develop clear and insightful dashboards in Power BI or Tableau to monitor governance metrics for key stakeholders. This position requires close collaboration with Data Governance, BI, and IT teams to mature our data ecosystem and empower the organization with trusted data.
 
 
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 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Minimum of 3 years of experience as a Data Scientist, Data Analyst, or in a similar analytics role.
 
 
 &rtrif; Proven experience in data preparation, including cleaning, transformation, feature engineering, and profiling.
 
 
 &rtrif; Strong proficiency in writing complex SQL queries to retrieve, join, and profile datasets across multiple systems.
 
 
 &rtrif; Hands-on experience with Data Governance Platforms, preferably Collibra.
 
 
 &rtrif; Demonstrated ability to automate analytical workflows, DQ checks, and reporting using Python or APIs.
 
 
 &rtrif; Experience in building clear, interactive dashboards and analytical reports using tools like Power BI or Tableau.
 
 
 &rtrif; Expertise in Data Quality Analysis, including identifying anomalies, thresholds, outliers, and performing root cause analysis.
 
 
 &rtrif; Excellent communication and stakeholder management skills to present insights and guide business teams.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 
 
 &rtrif; Professional certifications such as Collibra Ranger, CDMP, or other data analytics certifications (e.g., Google, AWS).
 
 
 &rtrif; Prior experience working in the Telecommunications industry.
 
 
 &rtrif; Direct experience with Collibra integrations and workflow development.
 
</div>

Data Scientist

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>
 <li>
 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>
 <li>
 Experience with ERP systems (SAP preferred) and enterprise data architecture.
 </li>
 <li>
 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>

<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

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>
 <li>
 Ensure compliance with QF data protection, information security, and AI governance frameworks.
 </li>
 <li>
 Provide thought leadership on emerging data science approaches, tools, and platforms.
 </li>
 <li>
 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

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a Power BI Engineer (Junior Data Scientist) to join our Data &amp; Analytics team in Doha, Qatar. In this role, you will be instrumental in developing robust semantic data models, insightful reports, and dynamic interactive dashboards that empower data-driven decision-making. You will actively contribute to the full data science lifecycle, from data collection and preparation to exploratory analysis and visualization. This position involves close collaboration with our Data Science and Data Engineering teams to transform complex datasets into actionable insights. You will support the development of machine learning models and ensure that analytical findings are communicated effectively to diverse stakeholders. This is an excellent opportunity to enhance data quality, drive analytical efficiency, and make a significant impact within a large-scale data platform.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
 
 
 &rtrif; 2&ndash;4 years of professional experience in Business Intelligence (BI) or data analytics.
 
 
 &rtrif; Strong proficiency in designing and developing datasets, reports, and dashboards using Power BI (Desktop and Service).
 
 
 &rtrif; Advanced skills in DAX and Power Query (M language) for complex data modeling, calculations, and transformation.
 
 
 &rtrif; Strong working knowledge of SQL for data extraction and transformation, specifically with SQL Server and/or MySQL.
 
 
 &rtrif; Demonstrated ability to perform exploratory data analysis (EDA) to identify patterns and trends.
 
 
 &rtrif; Experience in implementing Row-Level Security (RLS) and performance tuning of Power BI reports.
 
 
 &rtrif; Basic familiarity with Python (Pandas, NumPy) for statistical analysis and supporting data science experiments.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Experience with ETL tools such as Azure Data Factory or SSIS.
 
 
 &rtrif; Prior exposure to government programs, public sector analytics, or large-scale data platforms.
 
 
 &rtrif; Familiarity with other BI and visualization tools like Tableau.
 
 
 &rtrif; Knowledge of machine learning concepts and model validation processes.
 
 
 &rtrif; Proven ability to combine technical accuracy with strong user experience (UX) awareness in dashboard design.
 
</div>

Power BI Engineer (Junio Data Scientist)

Diyar United Company

<div>
 
 
 Job Purpose:
 
 
 
 The Data Architect is responsible for designing, governing, and optimizing the organization&rsquo;s enterprise data architecture. The role ensures that data is reliable, secure, high-quality, and accessible to support business operations, analytics, AI/ML initiatives, and digital transformation goals. The Data Architect serves as the strategic technical lead for data platforms, data standards, and data governance frameworks.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 He should be responsible to:
 
 
 
 
 <ul>
 <li>
 Define the enterprise data architecture blueprint (data flow, storage, processing, access layers).
 </li>
 <li>
 Develop data models (conceptual, logical, physical) for operational and analytical systems.
 </li>
 <li>
 Ensure alignment of data architecture with business strategy, digital transformation, and regulatory requirements.
 </li>
 <li>
 Define data domain boundaries and maintain the organization&rsquo;s data taxonomy.
 </li>
 <li>
 Design data integration patterns (ETL/ELT, streaming, API-based ingestion).
 </li>
 <li>
 Oversee the integration of data from multiple systems (ERP, CRM, IoT, SaaS platforms).
 </li>
 <li>
 Ensure interoperability standards (JSON/REST, XML, CSV).
 </li>
 <li>
 Define data exchange protocols with external entities and third-party systems.
 </li>
 <li>
 Define and enforce data quality rules (accuracy, completeness, consistency, timeliness).
 </li>
 <li>
 Establish master data management (MDM) standards.
 </li>
 <li>
 Work with data stewards to ensure consistent data definitions and metadata management.
 </li>
 <li>
 Monitor and report data quality KPIs.
 </li>
 <li>
 Define and enforce data governance policies (ownership, lineage, cataloging).
 </li>
 <li>
 Create data quality rules and monitor accuracy, consistency, completeness, and timeliness.
 </li>
 <li>
 Support MDM initiatives and maintain enterprise data dictionaries.
 </li>
 <li>
 Work with Data Stewards to ensure consistent data definitions and classification.
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Computer Engineering, Computer Science, Information Systems, or related field.
 </li>
 <li>
 Master&rsquo;s preferred; certifications in data platform architecture (Azure, AWS, GCP) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 12+ years of experience in data architecture, data engineering, or enterprise architecture.
 </li>
 <li>
 Experience in cloud data platforms (Azure preferred for government, Data platforms such as Informatica or BigID).
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong expertise in data modeling (OLTP/OLAP), SQL/NoSQL databases.
 </li>
 <li>
 Experience with Azure Data Factory, Synapse, Databricks, Data Lake storage.
 </li>
 <li>
 ETL/ELT patterns, data warehouse design, and MDM.
 </li>
 <li>
 Knowledge of data governance (DAMA-DMBOK or DCAM frameworks).
 </li>
 </ul>
 
 
</div>

Data Architect/ Data Scientist - Qatar

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>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 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>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 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)

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Data Scientist

Data Scientist

Lead Data Scientist

Senior Data Scientist, Digital Delivery

Power BI Engineer (Junio Data Scientist)

Data Architect/ Data Scientist - Qatar

Senior Data Scientist (Bangkok based, relocation provided)