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data scientist

EjadTech - إيجاد التقنية

<div>
 
 EjadTech is seeking a professional Data Scientist to act as a technical and strategic partner. The role involves extracting value from big data and transforming it into actionable insights that support decision-making and solve complex business challenges for our clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Translate complex business challenges into actionable data science projects and technical models.
 </li>
 <li>
 Manage the end-to-end data lifecycle, including extraction, cleaning, and transformation.
 </li>
 <li>
 Develop, train, and validate advanced Machine Learning models and predictive algorithms.
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) and create visualizations to communicate patterns clearly.
 </li>
 <li>
 Build and deploy scalable analytical solutions on cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Present technical findings and strategic recommendations to senior leadership and clients.
 </li>
 <li>
 Collaborate with Data Engineers to ensure robust data pipelines and system integration.
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3 to 6 years of professional experience as a Data Scientist.
 </li>
 <li>
 Strong proficiency in Python or R and advanced SQL querying.
 </li>
 <li>
 Proven track record in applying Machine Learning frameworks.
 </li>
 <li>
 Experience in a consulting or client-facing technology environment.
 </li>
 </ul>
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Exceptional Data Storytelling skills and the ability to simplify technical concepts for non-experts.
 </li>
 <li>
 Familiarity with Agile methodologies and modern data engineering practices.
 </li>
 <li>
 Critical thinking and problem-solving skills with the ability to work under pressure.
 </li>
 <li>
 Full professional proficiency in both Arabic and English.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 7 + years in data science/ML engineering, with 4 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Gen AI Data Scientist
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dhahran, Saudi Arabia
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Develop and deploy
 
 machine learning and deep learning models
 
 for
 
 time series forecasting
 
 ,
 
 NLP
 
 , and
 
 sensor/IoT data analysis
 
 .
 </li>
 <li>
 Fine-tune and deploy
 
 state-of-the-art (SOTA) models
 
 , including
 
 LLMs
 
 , using frameworks like
 
 HuggingFace
 
 , and methods like
 
 LoRA
 
 ,
 
 Q-LoRA
 
 , and full model fine-tuning.
 </li>
 <li>
 Implement and evaluate
 
 bagging and boosting models
 
 (e.g., XGBoost, LightGBM, CatBoost) for structured and sensor data.
 </li>
 <li>
 Design and optimize
 
 neural network architectures
 
 , including
 
 CNNs
 
 ,
 
 RNNs
 
 ,
 
 Transformers
 
 , and attention-based models using
 
 PyTorch
 
 .
 </li>
 <li>
 Build and evaluate
 
 model performance
 
 using appropriate metrics and validation strategies.
 </li>
 <li>
 Work with
 
 smart sensor data
 
 and
 
 IoT systems
 
 , extracting features and building predictive models for anomaly detection, failure prediction, and optimization.
 </li>
 <li>
 Develop and expose model inference as
 
 REST APIs
 
 using
 
 FastAPI
 
 or similar web frameworks.
 </li>
 <li>
 Collaborate with DevOps and engineering teams to operationalize models using
 
 Docker
 
 ,
 
 CI/CD pipelines
 
 , and cloud platforms.
 </li>
 <li>
 Maintain and improve data pipelines, feature engineering, and model monitoring in production environments.
 </li>
 </ul>
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline:
 
 31-Mar-2026
 
 
 
 
 
 
 Privacy Notice:
 
 
 
 https://ibegin.tcs.com/iBegin/privacy-notice
 
</div>

Gen AI Data Scientist

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 Job Purpose
 
 
 
 The KAUST Coral Restoration Initiative (KCRI) is a large-scale coral reef restoration program in the Red Sea in the Kingdom of Saudi Arabia (KSA). KCRI was established in 2021 and is funded by King Abdullah University of Science and Technology (KAUST),a world-class graduate research university in Thuwal, Saudi Arabia. The KCRI will take place at Shusha Island, in partnership with NEOM, a region in northwest Saudi Arabia that is being sustainably developed from the ground up with the world&rsquo;s most advanced technologies to redefine how people live, work, and play.
 
 
 
 
 
 Digital technologies play a key role in supporting this ambitious project. As part of the program, we are developing a digital twin of the coral reef system. The digital twin of the coral reef and nurseries is a virtual replica that collects, displays, analyses, and interacts with real-world data. It will serve as the centralhub of the project, aggregating data from the coral reefs to generate actionable insights for strategy and planning. The digital twin supports coral reef monitoring and protection, facilitates coral restoration management, enables research, and provides KCRI with a platform and portal to engage the public and other stakeholders.
 
 
 
 
 
 In the Monitoring Visualization and Database Management Team, the Data Scientist &amp; Data Manager leads the data science, analytics, and data management work. The role ensures data quality and governance and develops the analytics layer that makes the digital twin intelligent by integrating models and smart analytics. It acts as the main point of contact for all data science and analytics, maintaining data integrity, advancing AI/ML development, and delivering insights that help users understand reef health and support restoration operations.
 
 
 This role will be a part of KCRI&rsquo;s Monitoring, Visualization, and Database Management Team, but will work across all project teams to aid in data continuity across the project. This role is based at KAUST but may require travel to our project site in NEOM periodically to support project needs.
 
 
 
 
 
 
 Major Accountabilities
 
 
 
 The KAUST Coral Restoration Initiative&rsquo;s Data Scientist and Data Managerspecific responsibilities include:
 
 <ul>
 <li>
 Define and oversee the data strategy, architecture, and governance framework for the digital twin.
 </li>
 <li>
 Own the analytics and AI/ML layer, integrating modelsand smart analyticsto make the platform intelligent and predictive.
 </li>
 <li>
 Engage with digital twin users to identify, prioritise, and translate AI/MLuse cases into practical solutions.
 </li>
 <li>
 Develop and manage the roadmap for ML models,analytics, and data tools, ensuringalignment with project goals.
 </li>
 <li>
 Engage with domain expertsto ensure data quality, integrity, and validity
 </li>
 <li>
 Manage relationships with external modelling contractors, serving as the primary contact for data science and analytics guidance.
 </li>
 <li>
 Ensure data quality, accessibility, and interoperability through strong data management practices, cataloguing, and metadata standards.
 </li>
 <li>
 Responsible for performing statistical analysis for our program and developing data incites beyond basic dashboards.
 </li>
 </ul>
 <li>
 </li>
 
 
 Person Requirements
 
 
 
 Competencies
 
 <ul>
 <li>
 Works well in a fast-paced and diverse team environment yet can progress individually on tasks
 </li>
 <li>
 Pays close attention to detail
 </li>
 <li>
 Excellent English written and verbal communication skills
 </li>
 <li>
 Ability to be adaptable in challenging and remote environments that will be developing during the life of the project
 </li>
 <li>
 Ability to organize workload, adapt quickly to change, and deliver under the pressure of deadlines
 </li>
 <li>
 High problem-solving and time management skills
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Information Systems, Statistics, or Mathematics.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 8+ years in data science/management with leadership experience
 </li>
 <li>
 Strong in Python/R and ML frameworks (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience handling large-scale datasets and analytics pipelines
 </li>
 <li>
 Experienced in ML/ LLMdevelopment and maintenance with strong data management expertise
 </li>
 <li>
 Expertise in relational and spatial databases (PostgreSQL/PostGIS).
 </li>
 <li>
 Cloud infrastructure experience (AWS, Azure,GCP, Data Bricks).
 </li>
 <li>
 Excellent communication and stakeholder engagement.
 </li>
 <li>
 Practical experience with ecological datasets preferred
 </li>
 </ul>
 
 
</div>

Data Scientist & Data Manager

Leuwint

<div><div>Skills
<div>Minimum 5+ years of experience is required. 
Strong understanding of AI/ML and GenAI concepts including LLMs, RAG, and prompt engineering. 
Knowledge of solution architecture, system integration, APIs, and microservices. 
Hands-on experience with Python, SQL, and machine learning frameworks. 
Exposure to MLOps practices, cloud platforms, and end-to-end model lifecycle management. 
Strong stakeholder management with effective communication across business and technical teams. 
Expertise in defining KPIs, tracking ROI, and measuring AI solution performance. 
Proven ability to identify AI use cases, prioritize roadmaps, and align initiatives with business goals. 
</div>Location
<div>Riyadh, Saudi Arabia</div></div></div>

Senior Data Scientist

MASTER-WORKS

<div>Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
Data Engineer Roles and Responsibilities:
1. Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system.
2. Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data.
3. ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.
4. Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
5. NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data.
6. Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions.
7. Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows in 
 
 
Requirements 
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
preferably 5+ years of experience.</div>

Data Engineer

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