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data engineer lead (ot data) Jobs in Doha

data engineer lead (ot data)

data engineer.

lead data scientist

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

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>

Data Scientist

<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

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)

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

Imec

<div></div><div><div><div><div><div>Research &amp; development - Doha | About a week ago</div><div><div>
Where AI meets semiconductor excellence...
</div></div><div></div><div><div>
</div></div></div></div></div><div><div><div><div><div><div>About imec Qatar</div>
Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society. 
 
This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning!
What you will do
We are expanding our AI research and development activities and are looking for talented professionals to fill several key positions in the field of artificial intelligence for semiconductor and digital innovation, such as Senior Scientist, focusing on Applied AI for Semicon R&amp;D, and R&amp;D Manager AI for Digital Twinning.

As part of our multidisciplinary team, you will contribute to and/or lead the research, development, and implementation of AI-driven solutions that advance semiconductor technologies and digital applications. Depending on your role and expertise, you may:<ul><li>
Define and drive strategic AI roadmaps across technology pillars.</li><li>
Guide teams in achieving milestones for AI-driven projects.</li><li>
Translate objectives into actionable research and development packages (e.g., AI-assisted codesign, digital twins, reinforcement learning).</li><li>
Build, mentor, and manage cross-functional teams of AI scientists, engineers, and developers.</li><li>
Establish robust pipelines for data acquisition, model training, and deployment.</li><li>
Collaborate with internal and external stakeholders to embed and leverage AI in semiconductor platforms and system architectures.</li><li>
Foster cross-disciplinary innovation and ensure AI supports next-generation technologies.</li><li>
Manage project budgets, timelines, and reporting.
</li><li>Represent the organization externally through publications, conferences, and academic engagement.</li></ul>
You will be part of imec, and that means&hellip;
You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will participate in building a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.
Who you are
We are seeking candidates with backgrounds such as:<ul><li>
Master&rsquo;s or PhD in Computer Science, Electrical/Electronic Engineering, Applied Physics, Microelectronics, or a related STEM field.</li><li>
5+ years of experience in applied research and/or development of AI applications, with leadership in areas such as reinforcement learning, Bayesian optimization, surrogate modeling, or agentic AI.</li><li>
Demonstrable experience working in and/or leading effective, multidisciplinary teams.</li><li>
Hands-on approach, contributing to the development of prototypes and proof-of-concept demonstrations.</li><li>
Strong scientific programming skills, with experience in code documentation and repository management.</li><li>
Proven leadership and project management capabilities.</li><li>
Excellent communication skills; fluency in English required.</li><li>
Familiarity or experience with R&amp;D of SoC architectures, ASICs design, or energy technologies is a plus.</li></ul> 
IMEC and its affiliates will not accept unsolicited resumes from any source other than directly from a candidate. IMEC will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (hereafter &ldquo;Agency&rdquo;) to have been referred by the Agency free of charge. IMEC will not pay a fee to any Agency that does not have a prior written agreement with IMEC, validated by its HR department, in place regarding a specific job opening and allowing to submit resumes.</div></div></div></div></div></div>

Artificial intelligence

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Management Lead for one of our partners, a global leader in the IT Services and IT Consulting.
 
Job Summary: 
A Data Management Lead role is a cornerstone to the success of the data management team; he is the person with the most seniority in the team and he works closely with all team members. He helps the team to understand and execute their job effectively. He builds the team, mentors and guides them to the successful delivery of the assigned tasks.
 
Responsibilities: 
<ul>
<li>Lead the technical design and delivery of enterprise-grade data integration and DWH solutions.</li>
<li>Serve as the solution architect on data platform initiatives, ensuring scalable and maintainable architecture using Microsoft technologies.</li>
<li>Drive the data modeling process for both transactional and analytical systems, including star/snowflake schemas, normalization, and performance optimization.</li>
<li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into robust technical solutions.</li>
<li>Oversee and mentor a team of developers and data engineers throughout the SDLC.</li>
<li>Conduct code reviews, enforce data governance policies, and ensure best practices are followed.</li>
<li>Present technical solutions and project updates to executive stakeholders, communicating clearly across technical and non-technical audiences.</li>
<li>Stay current with advancements in cloud data platforms and recommend continuous improvement opportunities.</li>
</ul>
Requirements: 
<ul>
<li>Bachelors or Masters degree in Computer Science, Information Systems, or a related field.</li>
<li>6+ years of experience in data integration and data management roles.</li>
<li>Expertise in data warehouse design and dimensional modeling.</li>
<li>Strong understanding of ETL/ELT frameworks, data pipelines, and data quality principles.</li>
<li>Solid understanding of solution architecture in cloud and hybrid environments.</li>
<li>Excellent presentation and communication skills able to deliver impactful presentations and clearly articulate complex concepts.</li>
<li>Must be an Arabic speaker.</li>
</ul>

Data Management Lead

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