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senior data modeler consultant

senior data scientist

data scientist

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
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 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
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 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
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 </ul>
 <ul>
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 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
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 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

Zakat, Tax and Customs Authority

<div>
 Purpose of Job
 
 
 Job Resposiblites
 
 
 Job Details
 
 
 Communication and Contacs
 
 
 Education
 
 
 
 Experience
 
 
 
 Competencies
 
 
 Collaboration and Communication - Developing
 
 
 Policy Making - Developing
 
 
 Professionalism - Developing
 
 
 Database Design and Operations - Proficient
 
 
 Data Processing - Proficient
 
 
 IT Compliance - Proficient
 
 
 Results Oriented - Developing
 
 
 Data Management Planning and Design - Proficient
 
 
 Customer Focus - Developing
 
 
 Data Analytics - Developing
 
 
 Enablement of Change and Innovation - Developing
</div>

Availability and Sharing Data Senior Specialist

Data Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
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 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
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 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
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 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
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 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
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 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
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 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
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 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
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 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
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 Knowledge of metadata management and integration with data catalogs.
 </li>
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 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
8hClB9Kwo7</div>

Senior Data Architect

sirar by stc

<div>
 
 
 About the Company
 
 
 
 
 
 
 Advanced technology and cybersecurity company (sirar) established by stc, the region&rsquo;s ICT and digital services provider, sirar by stc is a cutting-edge cybersecurity provider that empowers organization to take control of their cyber capabilities and digital environments. As experts in business security and privacy. We offer a comprehensive range of solutions that help you to operate online safely, securely, and efficiently.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develops sirar data strategy and ensure having clear roadmap aligned with corporate strategy.
 </li>
 <li>
 Participates in developing data management framework requirements of master data, data quality and architecture.
 </li>
 <li>
 Participates in developing data governance processes and improvements to meet organizational needs.
 </li>
 <li>
 Ensures implementing data management policies and procedures.
 </li>
 <li>
 Manages data quality program and ensure continuous improvement.
 </li>
 <li>
 Ensures data management program and related projects to achieve data strategic objectives.
 </li>
 <li>
 Ensures a proper execution for data change management program.
 </li>
 <li>
 Contributes to the overall success of the company by performing all other duties and responsibilities as assigned by line manager
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Systems, Computer Science, or a related field
 </li>
 <li>
 Preferred: Certifications such as CDMP, CIPP or CIPM
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Good understanding of data governance frameworks (DAMA-DMBOK)
 </li>
 <li>
 Experience in data quality, metadata management, and data lifecycle practices
 </li>
 <li>
 Understanding of PDPL and data privacy requirements
 </li>
 <li>
 Familiarity with data sharing processes and governance
 </li>
 <li>
 Strong analytical, problem-solving, and coordination skills
 </li>
 <li>
 Experience with data governance tools (e.g., Collibra, Informatica, Purview)
 </li>
 <li>
 Hands-on experience with Power BI or Tableau
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 5 &ndash; 7 years in relevant experience.
 
 
 
 
 
 
 Important Notice for Candidates:
 
 
 
 
 
 
 By submitting your application, you confirm that you have read and understood sirar's Candidate Privacy Notice and agree to the processing of your personal data in accordance with it.
 
 
 
</div>

Data Management Lead

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 <ul>
 <li>
 Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 </li>
 <li>
 Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 </li>
 <li>
 Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 </li>
 <li>
 Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 </li>
 </ul>
 
 knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 
 
 Because alone, we go faster &ndash; but together, we go further.
 
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Business Unit:
 
 
 
 Data &amp; Intelligence
 
 
 
 Level:
 
 
 
 Senior to Managerial -level
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design &amp; implement the data governance framework and operating model and roles and responsibilities
 </li>
 <li>
 Design &amp; implement the data governance process workflows
 </li>
 <li>
 Conduct requirement gathering, business analysis, and any data architecture activities with the data governance
 </li>
 <li>
 Participate in the data maturity assessment sessions and gap analysis
 </li>
 <li>
 Participate in alignment with EA teams and data strategy across the organization.
 </li>
 <li>
 Coordinate with the project teams and others to ensure that data standards and models align with the overall enterprise architecture and applicable standard
 </li>
 <li>
 Define roles and responsibilities related to data governance and data quality, develop related processes and procedures, and establish a common understanding and visibility of all agency data assets.
 </li>
 <li>
 Develop a strong working relationship with the appropriate business users and provide business-impact-driven analysis and communicate results to stakeholders.
 </li>
 <li>
 Engage in Establishing &amp; Operate Data offices
 </li>
 <li>
 Engage in design &amp; implementing the data governance framework in the project. Including the standards, policies and procedures, operating model and data quality standards, roles, and procedures.
 </li>
 <li>
 Help in managing and running the maturity assessment and change management practice throughout the project.
 </li>
 <li>
 Participate in the delivery of the data governance projects.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachler's degree in IT or any related majors
 </li>
 <li>
 DAMA, Informatica, Collibra certificates
 </li>
 <li>
 5+ years of experience
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Fluency in Arabic &amp; English is highly desirable
 
</div>

Data Governance Consultant

Explore 149+ Data scientist in Riyadh this August. Find roles across top companies and apply now to boost your career.

149 data scientist jobs In Riyadh

Data Scientist III

Availability and Sharing Data Senior Specialist

Data Engineer

Data Engineer

Senior Data Architect

Data Management Lead

Data Governance Consultant