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assistant manager - data engineering

ai data analysis

Confidential

<div>
 <p>
  The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Data Exploration &amp; Cleaning: Analyse large datasets, identify inconsistencies and missing values
  </li>
  <li>
   Insights: Work on processing, and analyzing data to extract meaningful insights that can answers B2B business needs.
  </li>
  <li>
   Visualization &amp; Story telling: Use top tools, metabse to dashboard and to wow customers while informing them.
  </li>
  <li>
   Data governance:Ensure data integrity and consistency across pipelines
  </li>
  <li>
   Martech Skills: Top, Middle and Lower Funnel, Conversion rations, CAC, Digital media KPIs and benchmarks&hellip;
  </li>
  <li>
   Predictive modeling:Helping identify trends before they happen (e.g., predictive churn or LTV).
  </li>
  <li>
   Customer Journeys understanding and visualization
  </li>
  <li>
   Client Presentation skills, Good working experience with data Scientists.
  </li>
  <li>
   Minimum 4 yrs experience with reputable data firms or research agencies.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a relevant field (Computer Science, Data Science, or similar).
  </li>
  <li>
   At least 4 years&rsquo; experience in customers data analysis field
  </li>
  <li>
   Strong analytical skills and a passion for gathering customers&rsquo; insight.
  </li>
  <li>
   Good Knowledge in programming frameworks and languages.
  </li>
  <li>
   Familiar with Scrum working processes and the agile development methodology.
  </li>
 </ul>
 <p>
 </p>
</div>


AI Data Analysis

MASTER-WORKS

<div><h3 class="jobSectionHeader"><b>Role Summary</b></h3><p>
The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
1. Data Analysis &amp; Modeling</b></h3><ul>
<li>Collect, clean, transform, and analyze data from different sources.
</li><li>Perform exploratory data analysis (EDA) to identify trends and patterns.
</li><li>Design, develop, and validate machine learning and AI models.
</li><li>Select appropriate algorithms and techniques for each use case.
</li><li>Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
</li><li>Optimize and fine-tune models to enhance performance.
</li></ul><h3 class="jobSectionHeader"><b>2. Solution Implementation</b></h3><ul>
<li>Deploy machine learning models into production environments.
</li><li>Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
</li><li>Build scalable data pipelines for processing large datasets.
</li><li>Monitor and update deployed models to ensure continuous performance.
</li></ul><h3 class="jobSectionHeader"><b>3. Technical Project Support</b></h3><ul>
<li>Provide expert consultation on AI solutions and model design.
</li><li>Identify required data sources and support the data acquisition process.
</li><li>Participate in technical discussions with clients and internal teams.
</li><li>Support User Acceptance Testing (UAT) from a technical perspective.
</li></ul><h3 class="jobSectionHeader"><b>4. Documentation &amp; Reporting</b></h3><ul>
<li>Document modeling processes, methodologies, and analytical results.
</li><li>Prepare technical reports and present findings clearly to technical and non-technical audiences.
</li><li>Maintain proper documentation for model design and deployment.
</li></ul><p></p><p><b>Requirements</b></p><p><b>
Language Requirement:</b> Fluent Arabic (mandatory)<br>
<b>Experience Level:</b> 5+ years in Data Science / AI / Machine Learning<br>
<b>Sector:</b> AI projects, digital transformation, advanced analytics<br>
<b>Education:</b> Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field</p><p><br>
<b>Preferred Certifications:</b></p><ul>
<li>
Machine Learning / Deep Learning
</li><li>Data Science Certifications
</li><li>AI &amp; ML specializations
</li></ul><p></p><p><b>Required Skills &amp; Expertise</b></p><ul>
<li>
Deep knowledge of machine learning, deep learning, and data science methodologies.
</li><li>Strong proficiency in:
</li><li><ul><li><b>Python</b> (essential)
</li></ul></li><li>Experience with ML and data libraries:
</li><li><ul><li>TensorFlow or PyTorch
</li><li>Scikit-learn
</li><li>Pandas, NumPy
</li></ul></li><li>Hands-on experience with visualization tools:
</li><li><ul><li>Power BI, Tableau
</li></ul></li><li>Understanding of MLOps concepts and data engineering fundamentals.
</li><li>Experience working with large datasets and implementing data mining techniques.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Experience</b></h3><ul>
<li>Previous experience in Saudi Arabia (public or private sector).
</li><li>Experience in AI projects involving vision, NLP, or sensor data.
</li><li>Familiarity with end-to-end AI development lifecycle.</li></ul></div>

Expert Data Scientist

<div><p>Master-Works is seeking an experienced AI Business Analyst Lead to spearhead our initiatives in leveraging artificial intelligence to drive business growth. In this pivotal role, you will guide a team of analysts in understanding client needs and translating them into AI-driven solutions. Your leadership will be essential in bridging the gap between technical teams and business stakeholders, ensuring that AI projects align with our strategic objectives and deliver measurable results.</p><p></p><p><b>
Key Responsibilities:</b></p><ul>
<li>Lead and mentor a team of business analysts in evaluating and implementing AI solutions across various business units.</li>
<li>Work closely with stakeholders to identify business challenges and explore AI opportunities for improvement.</li>
<li>Conduct comprehensive data analysis to inform the development of AI models and algorithms.</li>
<li>Design and oversee the implementation of AI-driven business strategies and initiatives.</li>
<li>Develop clear business cases for AI projects, outlining costs, benefits, risks, and revenue generation potential.</li>
<li>Facilitate collaboration between technical teams (data scientists, engineers) and business units to ensure successful project delivery.</li>
<li>Stay abreast of industry trends, emerging technologies, and best practices in AI and analytics.</li>
<li>Measure and report on the performance of AI initiatives to stakeholders through detailed reporting and presentations.</li>
</ul><p></p><p><b>Requirements:</b></p><ul>
<li>Master's degree in Business Administration, Data Science, Computer Science, or a related field.</li>
<li>5+ years of experience in business analysis, with a focus on AI or advanced analytics.</li>
<li>Proven experience leading and managing a team of analysts.</li>
<li>Strong understanding of AI principles, machine learning algorithms, and data modeling.</li>
<li>Excellent project management skills and experience with Agile methodologies.</li>
<li>Exceptional verbal and written communication skills, with the ability to convey complex information to non-technical stakeholders.</li>
<li>Strong analytical and problem-solving abilities, with attention to detail.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus.</li>
</ul><p>If you are passionate about harnessing the power of AI to drive business success and have a knack for leadership and strategy, we invite you to join our team at Master-Works!</p><p><b>
Requirements</b></p><ul>
<li>Master's degree in Business Administration, Data Science, Computer Science, or a related field</li>
<li>5+ years of experience in business analysis, focusing on AI or advanced analytics</li>
<li>Proven experience leading and managing a team of analysts</li>
<li>Strong understanding of AI principles, machine learning algorithms, and data modeling</li>
<li>Excellent project management skills and experience with Agile methodologies</li>
<li>Exceptional verbal and written communication skills</li>
<li>Strong analytical and problem-solving abilities</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus</li></ul></div>

AI Business Analyst Lead

Master Works

<div>
 Master-Works is seeking an experienced AI Business Analyst Lead to spearhead our initiatives in leveraging artificial intelligence to drive business growth. In this pivotal role, you will guide a team of analysts in understanding client needs and translating them into AI-driven solutions. Your leadership will be essential in bridging the gap between technical teams and business stakeholders, ensuring that AI projects align with our strategic objectives and deliver measurable results.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and mentor a team of business analysts in evaluating and implementing AI solutions across various business units
  </li>
  <li>
   Work closely with stakeholders to identify business challenges and explore AI opportunities for improvement
  </li>
  <li>
   Conduct comprehensive data analysis to inform the development of AI models and algorithms
  </li>
  <li>
   Design and oversee the implementation of AI-driven business strategies and initiatives
  </li>
  <li>
   Develop clear business cases for AI projects, outlining costs, benefits, risks, and revenue generation potential
  </li>
  <li>
   Facilitate collaboration between technical teams (data scientists, engineers) and business units to ensure successful project delivery
  </li>
  <li>
   Stay abreast of industry trends, emerging technologies, and best practices in AI and analytics
  </li>
  <li>
   Measure and report on the performance of AI initiatives to stakeholders through detailed reporting and presentations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Business Administration, Data Science, Computer Science, or a related field
  </li>
  <li>
   5+ years of experience in business analysis, with a focus on AI or advanced analytics
  </li>
  <li>
   Proven experience leading and managing a team of analysts
  </li>
  <li>
   Strong understanding of AI principles, machine learning algorithms, and data modeling
  </li>
  <li>
   Excellent project management skills and experience with Agile methodologies
  </li>
  <li>
   Exceptional verbal and written communication skills, with the ability to convey complex information to non-technical stakeholders
  </li>
  <li>
   Strong analytical and problem-solving abilities, with attention to detail
  </li>
  <li>
   Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus
   <br/>
   <br/>
  </li>
 </ul>
 If you are passionate about harnessing the power of AI to drive business success and have a knack for leadership and strategy, we invite you to join our team at Master-Works!
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Business Administration, Data Science, Computer Science, or a related field
  </li>
  <li>
   5+ years of experience in business analysis, focusing on AI or advanced analytics
  </li>
  <li>
   Proven experience leading and managing a team of analysts
  </li>
  <li>
   Strong understanding of AI principles, machine learning algorithms, and data modeling
  </li>
  <li>
   Excellent project management skills and experience with Agile methodologies
  </li>
  <li>
   Exceptional verbal and written communication skills
  </li>
  <li>
   Strong analytical and problem-solving abilities
  </li>
  <li>
   Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus
  </li>
 </ul>
</div>


dentsu

<div>
 The purpose of this role is to implement and execute SEO initiatives, in line with the agreed strategy, to maintain, develop and exceed client performance targets.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 A Senior SEO/GEO Specialist drives end-to-end organic visibility across search engines and generative AI platforms by leading advanced keyword strategy, technical optimization, content direction, and LLM-based visibility improvements. The role involves conducting deep competitive and intent analysis, improving site architecture and E-E-A-T signals, managing GEO initiatives such as LLM persona testing, answer optimization, and prompt-based visibility enhancements, while partnering with cross-functional teams to align on business objectives. This specialist monitors performance across traditional SEO and emerging generative channels, translates insights into actionable roadmaps, and ensures consistent brand presence and recommendation across search, AI assistants, and multimodal platforms.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive end-to-end organic visibility across search engines and generative AI platforms.
  </li>
  <li>
   Lead advanced keyword strategy and intent-based analysis.
  </li>
  <li>
   Conduct technical SEO audits and implement site architecture improvements.
  </li>
  <li>
   Optimize content strategy, including E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.
  </li>
  <li>
   Manage GEO (Generative Engine Optimization) initiatives
  </li>
  <li>
   Monitor performance across traditional SEO and emerging generative AI channels.
  </li>
  <li>
   Translate performance insights into actionable roadmaps and strategies.
  </li>
  <li>
   Collaborate with cross-functional teams to align SEO/GEO initiatives with business objectives.
  </li>
  <li>
   Ensure consistent brand presence and recommendation across search engines, AI search engines, and multimodal platforms.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4&ndash;7 years of hands-on experience in SEO, with exposure to Generative Engine Optimization (GEO) or AI-driven search visibility.
  </li>
  <li>
   Strong expertise in keyword research, intent modeling, competitive analysis, and content optimization.
  </li>
  <li>
   Solid technical SEO knowledge, including crawling, indexing, site architecture, structured data, Core Web Vitals, and technical audits.
  </li>
  <li>
   Familiarity with generative AI platforms and concepts such as LLM persona testing, prompt optimization, and generative answer ranking.
  </li>
  <li>
   Proficiency with SEO tools such as Google Search Console, GA4, Screaming Frog, Ahrefs, SEMrush, and basic BI dashboards.
  </li>
  <li>
   Ability to analyze complex datasets and translate insights into clear, actionable SEO/GEO strategies.
  </li>
  <li>
   Strong understanding of E-E-A-T principles and how they influence organic visibility across both traditional and AI-driven search environments.
  </li>
  <li>
   Experience collaborating with product, content, engineering, data, UX, or media teams to deliver integrated organic growth initiatives.
  </li>
  <li>
   Excellent communication skills with the ability to simplify technical concepts for non-technical stakeholders.
  </li>
  <li>
   Curious, adaptable, and proactive, with a passion for emerging search behaviours, AI interfaces, and multimodal discovery.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 Riyadh
 <br/>
 <br/>
 <strong>
  Brand:
  <br/>
  <br/>
 </strong>
 Merkle
 <br/>
 <br/>
 <strong>
  Time Type:
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Contract Type:
  <br/>
  <br/>
 </strong>
 Permanent
</div>


Senior SEO Executive

Dentsu

<div>The purpose of this role is to implement and execute SEO initiatives, in line with the agreed strategy, to maintain, develop and exceed client performance targets.<div></div><div>
Job Description:</div><div>
About the Role</div><div></div><div>
A Senior SEO/GEO Specialist drives end-to-end organic visibility across search engines and generative AI platforms by leading advanced keyword strategy, technical optimization, content direction, and LLM-based visibility improvements. The role involves conducting deep competitive and intent analysis, improving site architecture and E-E-A-T signals, managing GEO initiatives such as LLM persona testing, answer optimization, and prompt-based visibility enhancements, while partnering with cross-functional teams to align on business objectives. This specialist monitors performance across traditional SEO and emerging generative channels, translates insights into actionable roadmaps, and ensures consistent brand presence and recommendation across search, AI assistants, and multimodal platforms.</div><div></div><div>
Job Description</div><div><div><div><div><ul><li><div>
Drive end-to-end organic visibility across search engines and generative AI platforms.</div></li><li><div>
Lead advanced keyword strategy and intent-based analysis.</div></li><li><div>
Conduct technical SEO audits and implement site architecture improvements.</div></li><li><div>
Optimize content strategy, including E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.</div></li><li><div>
Manage GEO (Generative Engine Optimization) initiatives</div></li><li><div>
Monitor performance across traditional SEO and emerging generative AI channels.</div></li><li><div>
Translate performance insights into actionable roadmaps and strategies.</div></li><li><div>
Collaborate with cross-functional teams to align SEO/GEO initiatives with business objectives.</div></li><li><div>
Ensure consistent brand presence and recommendation across search engines, AI search engines, and multimodal platforms.</div></li></ul></div></div></div></div><div></div><div>
Requirements</div><ul><li><div>
4&ndash;7 years of hands-on experience in SEO, with exposure to Generative Engine Optimization (GEO) or AI-driven search visibility.</div></li><li><div>
Strong expertise in keyword research, intent modeling, competitive analysis, and content optimization.</div></li><li><div>
Solid technical SEO knowledge, including crawling, indexing, site architecture, structured data, Core Web Vitals, and technical audits.</div></li><li><div>
Familiarity with generative AI platforms and concepts such as LLM persona testing, prompt optimization, and generative answer ranking.</div></li><li><div>
Proficiency with SEO tools such as Google Search Console, GA4, Screaming Frog, Ahrefs, SEMrush, and basic BI dashboards.</div></li><li><div>
Ability to analyze complex datasets and translate insights into clear, actionable SEO/GEO strategies.</div></li><li><div>
Strong understanding of E-E-A-T principles and how they influence organic visibility across both traditional and AI-driven search environments.</div></li><li><div>
Experience collaborating with product, content, engineering, data, UX, or media teams to deliver integrated organic growth initiatives.</div></li><li><div>
Excellent communication skills with the ability to simplify technical concepts for non-technical stakeholders.</div></li><li><div>
Curious, adaptable, and proactive, with a passion for emerging search behaviours, AI interfaces, and multimodal discovery.</div></li></ul><div></div><div>
Location:</div>
Riyadh<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

<div><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
AI &amp; Machine Learning Development</b></h3><ul>
<li>Develop text-based models and process both structured and unstructured data.
</li><li>Design and implement machine learning and deep learning models for specific business applications.
</li><li>Improve machine learning algorithms to enhance performance and accuracy.
</li><li>Apply deep learning frameworks such as <b>TensorFlow</b> and <b>PyTorch</b> to build and deploy neural networks.
</li></ul><h3 class="jobSectionHeader"><b>Data Management &amp; Feature Engineering</b></h3><ul>
<li>Manage and process large datasets, including cleaning, transforming, and extracting relevant features for model training.
</li><li>Ensure data accuracy, consistency, and reliability through data quality checks and validation.
</li><li>Develop and implement methods to improve data integrity, efficiency, and overall data quality.
</li></ul><h3 class="jobSectionHeader"><b>MLOps, Deployment &amp; Monitoring</b></h3><ul>
<li>Use <b>MLOps</b> tools and practices to monitor, optimize, and deploy AI solutions.
</li><li>Develop <b>A/B Testing</b> mechanisms, model quality assessments, and hypothesis validation.
</li><li>Evaluate machine learning models and ensure they meet performance expectations.
</li></ul><h3 class="jobSectionHeader"><b>Technical Support &amp; Collaboration</b></h3><ul>
<li>Translate business data needs into clear technical system requirements.
</li><li>Provide training and technical support to end users on how to effectively use machine learning models.
</li><li>Collaborate with cross-functional teams including business analysts and IT specialists to ensure smooth integration of advanced analytics.
</li></ul><h3 class="jobSectionHeader"><b>Documentation &amp; Security</b></h3><ul>
<li>Prepare all required technical documentation according to organizational standards.
</li><li>Implement security measures to protect sensitive data and manage appropriate access levels for machine learning systems and models.
</li></ul><h3 class="jobSectionHeader"><b>Innovation &amp; Continuous Improvement</b></h3><ul>
<li>Evaluate and recommend new tools and methods that enhance AI and machine learning capabilities.
</li><li>Support advanced analytics initiatives to uncover innovative insights.
</li></ul><p></p><p><b>Requirements</b></p><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Analytics, or related field.
</li><li><b>4+ years of experience</b> in machine learning and deep learning.
</li><li>Certifications in data analytics or machine learning systems.
</li><li>Practical experience with:
</li><li><ul><li><b>SAS</b>
</li><li><b>Dataiku</b>
</li></ul></li><li>Experience in both public and private sectors, preferably within <b>Saudi Arabia</b>.
</li><li>Strong background in data analytics and delivering multiple projects in the same field.
</li><li>Ability to work collaboratively with multi-functional teams to ensure seamless integration of advanced analytics.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills</b></h3><ul>
<li>Strong expertise in ML and deep learning algorithms.
</li><li>Excellent data analysis and feature engineering skills.
</li><li>Strong understanding of MLOps frameworks.
</li><li>Excellent communication skills and the ability to produce high-quality technical documentation.</li></ul></div>

Machine Learning & AI Engineer - Immediate Hiring

Explore 1141+ Ai data analysis in Riyadh S Top Hospitals Jobs In Dubai this December. Find roles across top companies and apply now to boost your career.

1141 ai data analysis jobs IN Riyadh S Top Hospitals Jobs In Dubai

AI Data Analysis

Expert Data Scientist

AI Business Analyst Lead

AI Business Analyst Lead

Senior SEO Executive

Senior SEO Executive

Machine Learning & AI Engineer - Immediate Hiring