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assistant manager – data engineering Jobs in Riyadh

assistant manager – data engineering

data & ai solution advisor (one-year fixed-term renewable contract) Jobs in Riyadh

data analyst

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>
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 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
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 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
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 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>

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

MA'ADEN

<div>Job Purpose
Lead and develop end-to-end machine learning and Generative AI solutions, ensuring architectural integrity, technical excellence, and business alignment while mentoring team members and driving successful delivery. 
Key Accountabilities
<div><ul><li>Lead and actively develop ML, deep learning, and Generative AI solutions.
</li></ul><ul><li>Design and implement LLM-based applications including RAG pipelines and embeddings strategies.
</li></ul><ul><li>Own solution architecture from problem framing to production deployment.
</li></ul><ul><li>Establish MLOps and LLMOps practices for deployment, monitoring, and retraining.
</li></ul><ul><li>Define evaluation standards, guardrails, and AI safety controls.
</li></ul><ul><li>Mentor team members and drive cross-functional collaboration.
</li></ul><ul><li>Ensure compliance with data governance and responsible AI standards.
</li></ul></div>Minimum Qualification, Experience and Competencies
<div><ul><li>Minimum Qualification
</li></ul></div><ul><li>Bachelor&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
</li></ul>Minimum Experience
<ul><li>7&ndash;9 years of experience in data science and AI, including leading end-to-end ML and Generative AI initiatives.
</li></ul>Skills:
<ul><li>Advanced ML &amp; deep learning
</li><li>LLM architecture design
</li><li>API orchestration &amp; system integration
</li><li>AI safety &amp; risk mitigation
</li><li>Enterprise AI deployment
</li><li>Cloud AI platforms (Azure, AWS, GCP)
</li><li>Technical leadership &amp; stakeholder engagement
</li><li>Solution architecture thinking</li></ul></div>

Lead Specialist, Data Science & Artificial Intelligence II

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

REEF GROUP | مجموعة ريف

<div>
 
 Data Analyst | Reef Group
 
 
 
 
 
 Position Title: Data Analyst
 
 
 Job Type: Full-Time
 
 
 
 
 
 About the Role:
 
 
 Reef Holding is seeking a detail-oriented and analytical Data Analyst to support the Administrative Operations function by transforming data into accurate, actionable insights that support decision-making, improve performance, enhance operational efficiency, and track the achievement of business objectives. This role focuses on analyzing data and developing reports and dashboards that strengthen planning, monitoring, and continuous improvement across the organization.
 
 
 The role will oversee data analysis activities including data collection, reporting, dashboard development, and performance tracking. The Data Analyst will work closely with operations and cross-functional teams to ensure data accuracy, consistency, and alignment with business needs.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Lead data collection and analysis:
 
 
 Collect data from various systems and analyze it based on business requirements.
 
 
 Identify trends, patterns, and gaps to support performance improvement.
 
 
 Provide data-driven recommendations to enhance efficiency and operational performance.
 
 
 
 
 
 Develop reports and dashboards:
 
 
 Prepare periodic reports on performance and approved key performance indicators (KPIs).
 
 
 Develop interactive dashboards to support monitoring and decision-making.
 
 
 Ensure timely delivery of reports and dashboards with high levels of accuracy and clarity.
 
 
 
 
 
 Ensure data quality and consistency:
 
 
 Validate data accuracy and resolve inconsistencies across different sources.
 
 
 Collaborate with internal teams to unify data sources.
 
 
 Support continuous improvement of data quality and reporting practices.
 
 
 
 
 
 Support planning and analytical initiatives:
 
 
 Support forecasting and planning activities based on historical data.
 
 
 Support analytical projects and improvement initiatives.
 
 
 Document analysis methodologies and reporting processes to ensure continuity.
 
 
 
 
 
 Collaborate across teams:
 
 
 Work closely with operations and relevant departments to support data needs.
 
 
 Ensure alignment between data insights and business objectives.
 
 
 
 
 
 Required Qualifications:
 
 
 Bachelor&rsquo;s degree in Information Systems or a related field.
 
 
 0&ndash;2 years of relevant experience.
 
 
 
 
 
 Strong ability to extract and analyze data.
 
 
 Proficiency in dashboard design.
 
 
 Understanding of digital consumer behavior.
 
 
 Ability to communicate effectively with e-commerce teams.
 
 
 
 
 
 Preferred Qualifications:
 
 
 Training in Google Analytics.
 
 
 Experience with user experience tracking tools.
 
 
 Knowledge of e-commerce data analysis.
 
 
 
 
 
 Languages:
 
 
 Arabic &ndash; English
 
 
 
 
 
 Why Join Us?
 
 <ul>
 <li>
 At Reef Holding, we believe that data plays a critical role in improving performance and supporting effective decision-making. Joining our team means contributing to an environment that values accuracy, efficiency, and continuous improvement across all operations.
 </li>
 </ul>
 
 
</div>

Data Analyst

Explore 446+ Data scientist in Riyadh this April. Find roles across top companies and apply now to boost your career.

446 data scientist jobs In Riyadh

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Lead Specialist, Data Science & Artificial Intelligence II

Data Engineer

Data Analyst