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Position Overview:<br>We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.<br>Develop and deploy data-driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets.<br>Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scrappingtechnologies to extract, analyze, and model unstructured data.<br>Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalableand efficient data pipelines and environments.<br>Leverage analytics: Mathematics and Statistics, modelling and modern machine learningtechniques, Optimization.<br>Understand complex databases and perform data management, cleaning, transformation andvisualization.<br>Build intuitive user interfaces using tools such as Shiny or Dash, enabling non-technical users toeasily interact with predictive models and analytics dashboards.<br>Create and maintain predictive analytics models, dashboards, automation program and other datadriven tools for technical teams and business stakeholders.<br>Stay up to date with the latest developments in data science, cloud computing, and AI tocontinuously improve data products.<br>Knowledge of actuarial concepts is a plus.<br>Qualifications and Experience:<br>• Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or any related field.<br>• Minimum 3-5 years of relevant experience (experience level depending on the profile)

Job Description<br><br> Model and develop BPMN workflows using Camunda Modeler for entity onboarding and payment processing. Build workflow services using the Camunda Java SDK or Camunda Node.js SDK. Interact with the process engine using Zeebe g RPC/REST and test calls through Postman. Monitor and manage running process instances using Camunda Operate and Camunda Tasklist. Write process tests for Zeebe workflows using JUnit or Jest. Support Camunda CI/CD on OKE, including Azure Dev Ops pipeline creation and support, Ingress configuration, facade deployment and troubleshooting, application configuration, and Key Vault configuration. Perform Camunda administration including backup configuration, upgrades/patches, environment library configuration, and repository management. Troubleshoot workflow execution issues and process bottlenecks. Collaborate with application teams to define workflow SLAs for critical payment and entity-onboarding flows.<br><br>Responsibilities<br><br>Experience: 6+ Years<br><br>Good To Have<br><br> Experience in payment / transaction processing systems. Camunda certification. Exposure to Mulesoft ESB and Anypoint Platform. Exposure to Solace<br><br>Qualifications<br><br> Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Strong analytical and troubleshooting skills. Excellent communication and documentation abilities. Ability to work independently and in cross-functional teams. Willingness to learn and adapt to new technologies

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> </span><p>Position Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong>Fresh Graduate Developee –&nbsp;Mechanical Engineering&nbsp;(Qatari Nationals Only)</strong></p><br> <p>Company Name: &nbsp;&nbsp;&nbsp; Nakilat</p><br> <p>Work Location:&nbsp; &nbsp; &nbsp; &nbsp; Ras Laffan &amp; Doha</p><br> <p>In line with Qatar’s National Vision 2030, the development of a sustainable Qatari workforce is one of the key priorities at Nakilat,&nbsp;so as to ensure Qatari Nationals are given the proper opportunity to develop their careers that would enable them to eventually take on positions of higher responsibility.</p><br> <p>Nakilat provides job opportunities to Qatari National Fresh Graduates, where comprehensive Individual Development Plan (IDP), is offered to selected candidates, with structured development plan, to gain on job training and prepare them to take up their future roles competitively.&nbsp;</p><br> <p>If you are ambitious to work with one of the largest maritime industries, and meeting the following criteria, please click on the link to apply for this job.</p><br> <p><strong>Qualifications:</strong></p><br> <ol> <li>Bachelor’s degree in Mechanical Engineering,</li> <li>Degree should be recognized by the Ministry of Education and Higher Education (QATAR).</li> <li>GPA 2.5 and above</li> </ol> <p><strong>Technical Qualification:</strong></p><br> <ol> <li>Fluent in English language – IELTS level 6.0 (or equivalent)</li> <li>Computer literacy in MS Office (Word, Excel, Power Point, and Outlook).</li> <li>Excellent interpersonal skills and communication skills.</li> </ol> <p><strong>Sponsorship:</strong></p><br> <ol> <li>Not Academically sponsored by another entity within Qatar.</li> </ol> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span><span><span><span>Position Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <b>Fresh Graduate Developee – <span>Mechanical Engineering <span>(Qatari Nationals Only)</span></span></b></span></span></span></span></p><br> <p><span><span><span><span>Company Name: &nbsp;&nbsp;&nbsp; Nakilat</span></span></span></span></p><br> <p><span><span><span><span>Work Location: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Doha &amp; Ras Laffan</span></span></span></span></p><br> <p><span><span><span><span>In line with Qatar’s National Vision 2030, the development of a sustainable Qatari workforce is one of the key priorities at Nakilat, </span></span><span><span>so as to ensure Qatari Nationals are given the proper opportunity to develop their careers that would enable them to eventually take on positions of higher responsibility.</span></span></span></span></p><br> <p><span><span><span><span>Nakilat provides job opportunities to Qatari National Fresh Graduates, where comprehensive Individual Development Plan (IDP), is offered to selected candidates, with structured development plan, to gain on job training and prepare them to take up their future roles competitively. </span></span></span></span></p><br> <p><span><span><span><span>If you are ambitious to work with one of the largest maritime industries, and meeting the following criteria, please click on the link to apply for this job.</span></span></span></span></p><br> <p><span><span><b><span><span>Qualifications: </span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Bachelor’s degree in Mechanical Engineering, </span></span></span></span></span></li> <li><span><span><span><span><span>Degree should be recognized by the Ministry of Education and Higher Education (QATAR).</span></span></span></span></span></li> <li><span><span><span><span><span>GPA 2.5 and above</span></span></span></span></span></li> </ol> <p><span><span><b><span><span>Technical Qualification:</span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Fluent in English language – IELTS level 6.0 (or equivalent)</span></span></span></span></span></li> <li><span><span><span><span><span>Computer literacy in MS Office (Word, Excel, Power Point, and Outlook).</span></span></span></span></span></li> <li><span><span><span><span><span>Excellent interpersonal skills and communication skills.</span></span></span></span></span></li> </ol> <p><span><span><b><span><span>Sponsorship:</span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Not Academically sponsored by another entity within Qatar.</span></span></span></span></span></li> </ol> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span><span><span><span>Position Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <b>Fresh Graduate Developee – <span>Finance / Accounting <span>(Qatari Nationals Only)</span></span></b></span></span></span></span></p><br> <p><span><span><span><span>Company Name: &nbsp;&nbsp;&nbsp; Nakilat</span></span></span></span></p><br> <p><span><span><span><span>Work Location: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Doha &amp; Ras Laffan</span></span></span></span></p><br> <p><span><span><span><span>In line with Qatar’s National Vision 2030, the development of a sustainable Qatari workforce is one of the key priorities at Nakilat, </span></span><span><span>so as to ensure Qatari Nationals are given the proper opportunity to develop their careers that would enable them to eventually take on positions of higher responsibility.</span></span></span></span></p><br> <p><span><span><span><span>Nakilat provides job opportunities to Qatari National Fresh Graduates, where comprehensive Individual Development Plan (IDP), is offered to selected candidates, with structured development plan, to gain on job training and prepare them to take up their future roles competitively. </span></span></span></span></p><br> <p><span><span><span><span>If you are ambitious to work with one of the largest maritime industries, and meeting the following criteria, please click on the link to apply for this job.</span></span></span></span></p><br> <p><span><span><b><span><span>Qualifications: </span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Bachelor’s degree in Finance / Accounting , </span></span></span></span></span></li> <li><span><span><span><span><span>Degree should be recognized by the Ministry of Education and Higher Education (QATAR).</span></span></span></span></span></li> <li><span><span><span><span><span>GPA 2.5 and above</span></span></span></span></span></li> </ol> <p><span><span><b><span><span>Technical Qualification:</span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Fluent in English language – IELTS level 6.0 (or equivalent)</span></span></span></span></span></li> <li><span><span><span><span><span>Computer literacy in MS Office (Word, Excel, Power Point, and Outlook).</span></span></span></span></span></li> <li><span><span><span><span><span>Excellent interpersonal skills and communication skills.</span></span></span></span></span></li> </ol> <p><span><span><b><span><span>Sponsorship:</span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Not Academically sponsored by another entity within Qatar.</span></span></span></span></span></li> </ol> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>Position Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Fresh Graduate Developee – <span>Mechanical Engineering <span>(Qatari Nationals Only)</span></span></strong></span></p><br> <p><span><span>Company Name: &nbsp;&nbsp;&nbsp; Nakilat</span></span></p><br> <p><span><span>Work Location:&nbsp; &nbsp; &nbsp; &nbsp; Ras Laffan &amp; Doha</span></span></p><br> <p><span><span><span>In line with Qatar’s National Vision 2030, the development of a sustainable Qatari workforce is one of the key priorities at Nakilat, </span></span><span><span>so as to ensure Qatari Nationals are given the proper opportunity to develop their careers that would enable them to eventually take on positions of higher responsibility.</span></span></span></p><br> <p><span><span>Nakilat provides job opportunities to Qatari National Fresh Graduates, where comprehensive Individual Development Plan (IDP), is offered to selected candidates, with structured development plan, to gain on job training and prepare them to take up their future roles competitively.&nbsp;</span></span></p><br> <p><span><span>If you are ambitious to work with one of the largest maritime industries, and meeting the following criteria, please click on the link to apply for this job.</span></span></p><br> <p><strong><span><span>Qualifications: </span></span></strong></p><br> <ol> <li><span><span>Bachelor’s degree in Mechanical Engineering, </span></span></li> <li><span><span>Degree should be recognized by the Ministry of Education and Higher Education (QATAR).</span></span></li> <li><span><span>GPA 2.5 and above</span></span></li> </ol> <p><strong><span><span>Technical Qualification:</span></span></strong></p><br> <ol> <li><span><span>Fluent in English language – IELTS level 6.0 (or equivalent)</span></span></li> <li><span><span>Computer literacy in MS Office (Word, Excel, Power Point, and Outlook).</span></span></li> <li><span><span>Excellent interpersonal skills and communication skills.</span></span></li> </ol> <p><strong><span><span>Sponsorship:</span></span></strong></p><br> <ol> <li><span><span>Not Academically sponsored by another entity within Qatar.</span></span></li> </ol> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> </span><p><span><span><span><span>Position Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <b>Fresh Graduate Developee – <span>Internal Audit&nbsp;<span>(Qatari Nationals only)</span></span></b></span></span></span></span></p><br> <p><span><span><span><span>Company Name: &nbsp;&nbsp;&nbsp; Nakilat</span></span></span></span></p><br> <p><span><span><span><span>Work Location: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Doha &amp; Ras Laffan</span></span></span></span></p><br> <p><span><span><span><span>In line with Qatar’s National Vision 2030, the development of a sustainable Qatari workforce is one of the key priorities at Nakilat, </span></span><span><span>so as to ensure Qatari Nationals are given the proper opportunity to develop their careers that would enable them to eventually take on positions of higher responsibility.</span></span></span></span></p><br> <p><span><span><span><span>Nakilat provides job opportunities to Qatari National Fresh Graduates, where comprehensive Individual Development Plan (IDP), is offered to selected candidates, with structured development plan, to gain on job training and prepare them to take up their future roles competitively. </span></span></span></span></p><br> <p><span><span><span><span>If you are ambitious to work with one of the largest maritime industries, and meeting the following criteria, please click on the link to apply for this job.</span></span></span></span></p><br> <p><span><span><b><span><span>Qualifications: </span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Bachelor’s degree in Computer Science or Computer Engineering, </span></span></span></span></span></li> <li><span><span><span><span><span>Degree should be recognized by the Ministry of Education and Higher Education (QATAR).</span></span></span></span></span></li> <li><span><span><span><span><span>GPA 2.5 and above</span></span></span></span></span></li> </ol> <p><span><span><b><span><span>Technical Qualification:</span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Fluent in English language – IELTS level 6.0 (or equivalent)</span></span></span></span></span></li> <li><span><span><span><span><span>Computer literacy in MS Office (Word, Excel, Power Point, and Outlook).</span></span></span></span></span></li> <li><span><span><span><span><span>Excellent interpersonal skills and communication skills.</span></span></span></span></span></li> </ol> <p><span><span><b><span><span>Sponsorship:</span></span></b></span></span></p><br> <ol> <li><span><span><span><span><span>Not Academically sponsored by another entity within Qatar.</span></span></span></span></span></li> </ol> </div>

We are looking for a Data Quality Lead to establish and manage the enterprise Data Quality Management Framework across the organization. The role will ensure data is accurate, complete, consistent, timely, and fit for purpose across banking, regulatory reporting, risk, finance, analytics, and AI initiatives. Key Responsibilities:Develop and implement Data Quality Framework, standards, policies, controls, KPIs/KRIs and scorecards. Define and monitor Data Quality Rules for Critical Data Elements (CDEs). Lead Data Quality Issue Management, including root-cause analysis, remediation, escalation, and closure. Monitor data quality through dashboards, scorecards and management reporting. Support regulatory reporting, risk, finance, compliance and audit requirements. Ensure data quality for AI, analytics and ML initiatives. Work closely with Data Owners, Data Stewards, IT, Risk, Finance, Compliance and Business teams. Drive enterprise-wide Data Governance and Data Quality maturity. Required Experience:8–12 years in Data Governance, Data Quality, Data Management, Risk Data or Regulatory Data. Banking/Financial Services or another highly regulated industry is required. Strong knowledge of Data Quality, Data Governance, Data Lineage, Metadata, MDM and Reference Data. Experience with Informatica, Collibra, Microsoft Purview, ABACUS or similar platforms. Strong stakeholder management and governance experience.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The Senior Data Analyst is responsible to&nbsp;leverage data-driven insights to inform and guide strategic decision-making within an organization. This role involves analyzing large datasets, identifying trends, patterns, and opportunities, and translating complex data into actionable recommendations for the strategy team and senior management.</p><br> <br><br><u><b>Job Responsibilities 1</b></u> <br><p>Utilize advanced data analysis techniques to extract valuable insights from various data sources, supporting strategic initiatives and decision-making.</p><br> <p>Identify trends, patterns, and correlations within data to anticipate future market dynamics and strategic opportunities.</p><br> <p>Evaluate the performance of the organization's key metrics, products, or services to identify areas for improvement and growth.</p><br> <p>Analyze data related to competitors' activities, market positioning, and performance to inform competitive strategies.</p><br> <p>Conduct data-driven market research and segment analysis to identify target audiences, market trends, and potential growth areas.</p><br> <p>Provide data-backed insights and recommendations to support the development and refinement of strategic plans.</p><br> <p>Collaborate with the strategy team and senior management to provide data-driven insights that inform critical decisions.</p><br> <p>Perform scenario analysis to assess the potential outcomes of different strategic choices and their impact on business goals.</p><br> <p>Create clear and compelling data visualizations, charts, and dashboards to communicate complex insights effectively.</p><br> <br><br><u><b>Job Responsibilities 2</b></u> <br><p>Define and track key performance indicators (KPIs) aligned with strategic goals, and provide insights into their progress.</p><br> <p>Collaborate with cross-functional teams, including finance, marketing, and operations, to gather and analyze relevant data.</p><br> <p>Ensure data accuracy, consistency, and integrity throughout the analysis process.</p><br> <p>Prepare and present data-driven recommendations and insights to senior management and key stakeholders.</p><br> <p>Conduct hypothesis testing to validate assumptions and uncover insights that drive strategic initiatives.</p><br> <p>Serve as a subject matter expert on data analysis and insights, providing guidance to the strategy team and other departments.</p><br> <p>Proactively identify opportunities for innovation and improvement based on data insights.</p><br> <p>Identify potential risks and challenges through data analysis, helping the strategy team develop risk-mitigation strategies.</p><br><br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>Deep understanding of the popular data analysis tools and databases.</p><br> <p>High-level experience in methodologies and processes for managing large-scale bases.</p><br> <p>Demonstrated experience in handling large data sets and relational databases.</p><br> <p>Understanding of addressing and metadata standards.</p><br> <p>High-level written and verbal communication skills.</p><br> <p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u> <br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Business Intelligence Tools L3<br>Data Governance L3<br>Data Marts L3<br>Data Quality Assurance L3<br>KPI Understanding L3<br>Leadership<br>Quality<br>Resilience<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Business Administration or any related field<br><br><br><br> </div>

Nair Systems is currently looking for Data Quality Lead for our Qatar operations Qualifications & Experience• Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.• 8-12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.• Experience within banking, financial services, or other highly regulated industries is required.• Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.• Experience with Data Governance and Data Quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions. Key Responsibilities• Data Quality Governance & Framework• Develop, maintain, and enhance Data Quality Framework, standards, procedures, methodologies, and operating model.• Define enterprise data quality principles, controls, KPIs, KRIs, scorecards, and reporting requirements.• Ensure alignment with the Data Governance Framework, Data Management Policy, and regulatory expectations, including QCB requirements.• Data Quality Oversight & Monitoring• Define and oversee data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.• Establish and monitor data quality performance for Critical Data Elements (CDEs) across business and support functions.• Monitor enterprise data quality performance through dashboards, scorecards, and management reporting.• Provide regular reporting to Data Governance Committees and senior management on data quality trends, risks, and remediation progress.• Data Issue Management & Escalation• Lead Enterprise Data Quality Issue Management processes, including identification, impact assessment, root cause analysis, remediation tracking, and closure validation.• Maintain Enterprise Data Quality Issue management register• Challenge and oversee remediation plans developed by Data Owners, Data Stewards, and technology teams.• Escalate material data quality risks and unresolved issues through appropriate governance committees for timely resolution.• Regulatory Reporting & Risk Data Quality• Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting.• Coordinate with Risk, Finance, Compliance, and Business units to improve the quality of data supporting regulatory submissions.• Support regulatory examinations, audits, and data-related reviews.• Data & AI Enablement• Ensure that data used in AI, advanced analytics, and machine learning initiatives meets approved quality standards.• Collaborate with AI Governance teams to assess data quality risks impacting AI models and AI-enabled business processes.• Support the implementation of data quality controls throughout the data and AI lifecycle.• Stakeholder Engagement• Partner with Data Owners, Data Stewards, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to improve data quality maturity.• Promote data quality awareness, accountability, and stewardship across the Group.• Facilitate working groups and governance forums focused on data quality improvement initiatives. Joining time frame: 2 weeks (maximum 1 month) Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest at nishanthini.suda@nairsystems.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview</b><br><p>As a Microsoft Data Center Inventory &amp; Asset Technician (DIAT), you will perform cycle audits, execute incoming/outgoing deliveries, coordinate security escorts for third-party vendors, and document inbound and outbound deliveries. This opportunity will allow you to deepen your knowledge of inventory management principles, warranty process management, data bearing device destruction and advance your career in the process.</p><br><p>Microsoft’s Cloud Operations &amp; Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DIAT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and opportunities including Career Rotation Programs, Diversity &amp; Inclusion training and events, and professional certifications.</p><br><p>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.</p><br><p>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.</p><br><p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><br><br><b>Responsibilities</b><br><p><strong>Responsibilities</strong></p><br><ul><li>Perform assigned tasks and escalate issues during high-volume work activity or escalation-based situations.</li><li>Coordinate with suppliers to initiate warranty claim and process failed vendor hardware devices.&nbsp; This includes information processing, packaging, shipment, and receipt of return for Return Merchandise Authorization (RMA) devices following all Service Level Agreements (SLAs) related to RMA warranty process.</li></ul><ul><li>Leverage process knowledge and best judgment to complete tasks with minimal direct supervision.</li></ul><ul><li>Maintains a strong focus to understand the impact of their work when completing tickets and assigned Inventory and Asset Management (IAM) tasks.</li></ul><ul><li>Maintains and steward up-to-date and accurate logical information within various inventory management systems (e.g., configuration management databases, asset management repositories).</li><li>Ensures detailed physical inventory tracking and staging.</li></ul><ul><li>Help to reconcile and report inventory discrepancies.</li></ul><ul><li>Performs destruction of data bearing devices (DBD) following all Service Level Agreements (SLAs) and Microsoft policies as necessary.</li></ul><ul><li>Notifies management about ordering stock shortages. Escalates any issues to management.</li></ul><ul><li>Comply with security and data management policies.</li><li>Embody our culture and values.</li></ul><br><b>Qualifications</b><br><p><strong><span>Required Qualifications</span></strong></p><br><ul><li>High School Diploma AND experience warehouse/supply chain in an information technology (IT) environment, inventory management, retail, warehouse management, or a related field.<ul><li>OR equivalent experience.</li></ul></li></ul><ul><li>Ability to work shifts, including shift assignments during non-standard business hours that may include evening, nighttime, weekends, and/or holidays</li></ul><p><strong>Background Check Requirements:&nbsp;</strong></p><br><p>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:&nbsp;</p><br><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p>While not required, we also look for the following<strong> <em><span>Preferred</span></em><span> Qualifications</span>: </strong></p><br><ul><li>2+ year(s) experience in warehouse/supply chain in an information technology (IT) environment, IT, and/or logistics, operating heavy-load movement equipment (e.g., forklift, pallet jacks, chassis lifts) for a large corporation<ul><li>OR equivalent experience.</li></ul></li></ul> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><br><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b><u>requesting accommodations.</u></b></p><br> </div>

???? Welcome to Your Next Adventure!<br><br>???? What You’ll Get Your Hands On<br><br>Lead the research, development, and implementation of advanced time series forecasting models to optimise logistics operations, including ETA prediction, preparation times, and demand forecasting. Design and implement optimization algorithms and solvers to improve logistics network efficiency, route planning, and resource allocation. Design and conduct rigorous experiments to test, validate, and benchmark models under various real-world scenarios, ensuring robustness and accuracy. Fine-tune, deploy, and monitor ML models and applications in production, maintaining retraining pipelines and ensuring model performance over time. Collaborate with ML engineers, backend engineers, researchers, and product engineers in a cross-functional setting to identify key operational challenges and develop innovative data-driven solutions. Conduct A/B tests and other experimentation techniques to evaluate model impact and drive continuous improvement across logistics KPIs. Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders. Provide technical leadership in data science, mentoring junior team members and driving best practices in modelling, experimentation, and code quality. Stay up-to-date with the latest advancements in AI, ML, and operations research, integrating cutting-edge techniques into logistics solutions.<br><br>????‍♂️ The Magic You Bring<br><br>MSc in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field. Nice to Have: PhD in Data Science, Statistics, Computer Science, Electrical Engineering, or equivalent industrial experience.5+ years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems. Extensive hands-on experience with time series forecasting methods (e.g., ARIMA, Prophet, Light GBM, TFT, Deep AR, N-BEATS) and regression/classification models. Practical experience with optimisation techniques and solvers (e.g., linear programming, mixed-integer programming, heuristic methods, OR-Tools, PuLP, or similar). Proficiency in Python, including libraries such as Pandas, Num Py, Scikit-learn, Optuna, Light GBM, Tensor Flow, or PyTorch. Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines. Practical experience in A/B testing and other experimentation techniques. Strong experience handling large datasets and proficiency with SQL databases (Big Query, Redash, or others). Experience with cloud platforms such as AWS (ECS, S3, Lambda, Step Functions), GCP (Big Query, Vertex AI), and/or Databricks for ML model development and deployment. Proven experience in the delivery and logistics industry, with a strong understanding of its operational challenges and optimisation opportunities (a plus<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br> Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br> Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br> Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br> Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br> It's All About People: “Be a team player; together we are stronger.”<br><br>Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data Analysis Specialist Experience of working with employee surveys and related tools and approaches <p>Strong track record in designing, producing and delivering impactful surveys.</p><br> <p>Experience in using measurement, data, analytics and insight in relation to communication and engagement activity</p><br> <p>Excellent analytics and problem-solving abilities</p><br> <p>Effective communication skills to convey complex findings to diverse audience</p><br> <p>Ability to analyse existing tools and databases and provide recommendations</p><br> <p>Strong Business Intelligence (BI) analysis background</p><br> <p>Excellent command of the English language</p><br> <p>PC literate</p><br> <p>Proficiency in primary and secondary research methodologies</p><br> <p>Ability to present work quickly and accurately, under pressure and to deadline</p><br> <p>Resilient and adaptable</p><br> <p>Willing to work occasionally long/unsocial hours to meet the needs of the business</p><br> <p>Demonstrate creative flair and innovative thinking</p><br> <br> <br> </div>

About Agoda<br><br>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.<br><br>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.<br><br>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’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get To Know Our Team:<br><br>The Data department oversees all of Agoda’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’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.<br><br>The Opportunity:<br><br>As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, Dev Ops and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.<br><br>You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.<br><br>What You’ll Do:<br><br>Data Engineering<br><br>Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability:Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).<br><br>Data Tools & Product Development<br><br>Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or Java Script/Type Script to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.<br><br>Data Analytics & Business Impact<br><br>Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.<br><br>Stakeholder & Team Collaboration <br><br>Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.<br>Required Qualifications:<br><br>8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., Big Query, Snowflake, Redshift, Hive, Spark, Vertica, Star Rocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or Java Script/Type Script). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.<br><br>Preferred Qualifications:<br><br>Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>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’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.<br><br>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.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’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.

JOB TO BE BASED IN KINGDOM OF SAUDI ARABIA<br>Overview We are seeking a Data Scientist Specialist to our Downstream Transformation & Business Excellence Department (DST&BED). DST&BED empowers the Downstream Admin Areas with advanced analytics, digital tools, and data-driven insights to improve reliability, optimize operations, accelerate decision-making, and enable strategic digital transformation. The organization is responsible for designing advanced analytical models, developing scalable digital solutions, and supporting enterprise-level digital programs.<br>Your primary role is to design, develop, and operationalize advanced machine learning models that support downstream optimization, predictive maintenance, and performance enhancement. You will work with complex datasets, apply advanced statistical and AI techniques, and ensure models deliver measurable value across operational areas.<br>Key Responsibilities As the successful candidate you will be required to perform the following:Develop machine learning, statistical, and predictive models for downstream operational use cases. Assess data quality, perform data cleansing, and prepare datasets for model development. Explore advanced analytical techniques such as deep learning, time-series modelling, anomaly detection, and optimization algorithms. Validate, test, and refine models to ensure accuracy, reliability, and stability. Prepare technical documentation and present analytical results to stakeholders. Support integration of models into digital platforms and operational systems. Evaluate emerging data science methods and recommend approaches that improve model performance. Collaborate with engineers, analysts, and solution architects to translate operational challenges<br>Minimum Requirements You will hold a Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program. You will have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions. Candidates must have clearly demonstrated Downstream and/or Oil & Gas industry experience You will have strong knowledge of machine learning, statistical modelling, and data engineering techniques. You must have proven experience developing and deploying models into production environments. You will be able to demonstrate proficiency in Python or similar programming languages. Experience with cloud platforms, databases, and visualization tools is preferred. You will have the ability to translate complex data concepts into business insights.<br>REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED