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expert data scientist

Master Works

<div>
 
 Role Summary
 
 
 
 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.
 
 
 
 Key Responsibilities
 
 
 
 2. Solution Implementation
 
 
 
 
 3. Technical Project Support
 
 
 
 
 4. Documentation &amp; Reporting
 
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling
 </li>
 <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>
 <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>
 <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>
 <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>
 
 Requirements
 
 
 
 
 Language Requirement:
 
 Fluent Arabic (mandatory)
 
 
 
 Experience Level:
 
 5+ years in Data Science / AI / Machine Learning
 
 
 
 Sector:
 
 AI projects, digital transformation, advanced analytics
 
 
 
 Education:
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field
 
 
 
 Preferred Certifications:
 
 
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Data Science Certifications
 </li>
 <li>
 AI &amp; ML specializations
 
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Deep knowledge of machine learning, deep learning, and data science methodologies.
 </li>
 <li>
 Strong proficiency in:
 </li>
 <ul>
 <li>
 Python (essential)
 </li>
 </ul>
 <li>
 Experience with ML and data libraries:
 </li>
 <ul>
 <li>
 TensorFlow or PyTorch
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 Pandas, NumPy
 </li>
 </ul>
 <li>
 Hands-on experience with visualization tools:
 </li>
 <ul>
 <li>
 Power BI, Tableau
 </li>
 </ul>
 <li>
 Understanding of MLOps concepts and data engineering fundamentals.
 </li>
 <li>
 Experience working with large datasets and implementing data mining techniques.
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <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

MASTER-WORKS

<div><h3 class="jobSectionHeader">Role Summary</h3>
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.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h3 class="jobSectionHeader">
1. Data Analysis &amp; Modeling</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">2. Solution Implementation</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">3. Technical Project Support</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">4. Documentation &amp; Reporting</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>Requirements
Language Requirement: Fluent Arabic (mandatory) 
Experience Level: 5+ years in Data Science / AI / Machine Learning 
Sector: AI projects, digital transformation, advanced analytics 
Education: Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field 
Preferred Certifications:<ul>
<li>
Machine Learning / Deep Learning
</li><li>Data Science Certifications
</li><li>AI &amp; ML specializations
</li></ul>Required Skills &amp; Expertise<ul>
<li>
Deep knowledge of machine learning, deep learning, and data science methodologies.
</li><li>Strong proficiency in:
</li><li><ul><li>Python (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><h3 class="jobSectionHeader">Preferred Experience</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>

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Data Scientist

RED Global

<div>
 
 Urgent Opportunity- Data Scientist - Contract Opportunity- On-site - 6 months + extension- Full-time- Riyadh, Saudi Arabia
 
 
 
 
 
 Our international IT Consulting client is looking for Data Scientist as below.
 
 
 Urgent opportunity with Competitive Rates &amp; Immediate Interviews!
 
 
 
 
 <ul>
 <li>
 Job Title: Data Scientist
 </li>
 <li>
 Engagement: Full time
 </li>
 <li>
 Location: On-site in Riyadh, Saudi Arabia
 </li>
 <li>
 Languages: Fluent in English
 </li>
 <li>
 Start date: ASAP
 </li>
 <li>
 Contract: 6 months + extension
 </li>
 </ul>
 
 
 
 
 
 Skills required:
 
 
 
 
 
 <ul>
 <li>
 Python- Pytorch
 </li>
 <li>
 LLMs- LLM deployments, LLM Optimizations- LLM finetuning
 </li>
 <li>
 DevOps
 </li>
 <li>
 ML Ops
 </li>
 <li>
 LangChain- AI Agents
 </li>
 <li>
 Excellent problem solving
 </li>
 </ul>
 
 
 
 
 Let's connect for more details, please apply on the job post or send me your most updated CV on jdabaas@redglobal.com
 
</div>

Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead initiatives to develop and implement strategies for fraud detection and AML.
 </li>
 <li>
 Interact heavily with SME as well as Enterprise clients.
 </li>
 <li>
 Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
 </li>
 <li>
 Plan, research and experiment customized project-based solutions.
 </li>
 <li>
 Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
 </li>
 <li>
 Plan and execute towards the training of ML models then deploying them.
 </li>
 <li>
 Help shape the roadmap for the development of our fraud and AML solutions.
 </li>
 <li>
 Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 At least 5 years experience in leading advanced data science projects.
 </li>
 <li>
 A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
 </li>
 <li>
 Strong communication skills to collect insights from clients, share and present findings.
 </li>
 <li>
 Proficient in handling and analysing large datasets using SQL and Python.
 </li>
 <li>
 Hands-on experience in data extraction, visualisation, analysis, and transformation.
 </li>
 <li>
 Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
 </li>
 <li>
 Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
 </li>
 <li>
 Ability to create and manage complex multi-stage data pipelines.
 </li>
 <li>
 Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
 </li>
 <li>
 Proficiency in English language is required and preferably in Arabic languages.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and adaptability
 
 
 </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>
 <li>
 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>
 <li>
 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
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

Senior Data Scientist

DatascienceME

About the RoleWe are looking for a Data Scientist to analyze large datasets and build data-driven solutions that drive business decisions at Datascience. You will use machine learning, statistical analysis, and visualization techniques to uncover insights and improve our operations.Key Responsibilities<ul><li>Identify valuable data sources and automate data collection.</li><li>Clean, preprocess, and analyze structured and unstructured data.</li><li>Build predictive models and machine learning algorithms.</li><li>Visualize results using modern BI tools and dashboards.</li><li>Collaborate with cross-functional teams to translate data into actionable insights.</li><li>Recommend strategies to solve complex business problems.</li></ul>Requirements<ul><li>Proven experience as a Data Scientist or similar role.</li><li>Strong skills in Python, R, and SQL; familiarity with Scala, Java, or C++ is a plus.</li><li>Hands-on experience with machine learning, data mining, and statistical modeling.</li><li>Knowledge of Tableau, Power BI, or similar visualization tools.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).</li></ul>Why Join Us<ul><li>Work on real-world AI and data challenges.</li><li>Collaborative, innovative work environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you a Saudi national?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>

Astek

<div>
 
 For one of our client I'm looking for a
 
 Data Scientist
 
 . We are on the lookout for a highly skilled individual with a passion for leveraging data to drive evidence-based decision-making.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Design and Implement ML Models
 
 : Develop machine learning algorithms to tackle complex challenges and improve efficiency.
 </li>
 <li>
 
 Data Analysis
 
 : Analyze data to gather insights that drive strategic decisions.
 </li>
 <li>
 
 Stakeholder Collaboration
 
 : Work with various stakeholders to grasp business requirements and design appropriate data solutions.
 </li>
 <li>
 
 Data Pipeline Maintenance
 
 : Ensure data integrity and availability by developing and maintaining pipelines and databases.
 </li>
 <li>
 
 Data Visualization
 
 : Use Power BI to create visualizations and dashboards that communicate findings effectively to diverse audiences.
 </li>
 <li>
 
 Statistical Validation
 
 : Conduct statistical analyses to validate the outputs of machine learning models.
 </li>
 <li>
 
 Industry Awareness
 
 : Keep up with industry trends and emerging technologies to enhance data capabilities.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Education
 
 : Requires a bachelor&rsquo;s degree in IT, Computer Science, Data Science, or a related field.
 </li>
 <li>
 
 Experience
 
 : Proven experience as a Data Scientist, ideally within the healthcare sector.
 </li>
 <li>
 
 Technical Skills
 
 :
 </li>
 </ul>
 
 Proficiency in
 
 Python
 
 and
 
 SQL
 
 .
 
 
 Expertise in data visualization (notably
 
 Power BI
 
 ).
 
 <ul>
 <li>
 
 Machine Learning Knowledge
 
 : A solid understanding of machine learning concepts and algorithms.
 </li>
 <li>
 
 Analytical Skills
 
 : Strong analytical and problem-solving abilities.
 </li>
 <li>
 
 Communication Skills
 
 : Ability to communicate and collaborate effectively.
 </li>
 </ul>
 
 
</div>

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911 expert data scientist jobs IN Room Dining Four Seasons Hotel Riyadh Jobs In Riyadh

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