data scientist

data analyst

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data & ml engineer1

big data engineer

IQVIA

<div><h3 class="jobSectionHeader">About the Role
</h3>We are seeking a highly skilled Cloudera Engineer to join our Big Data team. In this role, you will design, build, and manage Hadoop clusters using Cloudera technologies, ensuring optimal performance, scalability, and security. You will collaborate with cross-functional teams to deliver robust big data solutions that power critical business insights.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Build and configure new clusters and projects involving Cloudera (CDH) technologies.
</li><li>Manage storage, performance tuning, and volume management for Hadoop clusters.
</li><li>Troubleshoot and resolve application and cluster issues, escalating when necessary.
</li><li>Handle cluster design, capacity planning, performance optimization, monitoring, and scaling.
</li><li>Perform standard system administration tasks, including user management, permissions, and upgrades.
</li><li>Monitor and resolve day-to-day cluster issues, ensuring SLA compliance.
</li><li>Support users with administrative needs and optimize job performance.
</li><li>Perform SQL queries and performance tuning across all levels.
</li><li>Collaborate with cross-functional teams to set up production environments and enable business solutions.
</li><li>Develop scripts to automate reporting and maintenance activities.
</li><li>Implement backup and recovery strategies using Cloudera Replication Manager.
</li><li>Address live performance and stability issues and prevent recurrence.
</li><li>Support data engineering efforts, ETL pipelines, and data science teams using Python and Scala.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Proven experience in Hadoop administration and Cloudera (CDH) technologies.
</li><li>Strong knowledge of cluster design, performance tuning, and troubleshooting.
</li><li>Proficiency in SQL and scripting for automation.
</li><li>Familiarity with backup/recovery strategies and operational best practices.
</li><li>Ability to support data engineering and data science teams.
</li><li>Strong problem-solving skills and ability to work under pressure.
</li></ul><h3 class="jobSectionHeader">Why Join Us?
</h3><ul><li>Work on cutting-edge big data technologies in a collaborative environment.
</li><li>Opportunity to influence architecture and performance strategies.
</li><li>Be part of a team that values innovation, efficiency, and continuous improvement.
</li></ul>IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com</div>

Cloudera Engineer

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Valleysoft | Center of Excellence is seeking talented Data &amp; ML Engineers to join our innovative team. As Data &amp; ML Engineers, you will be responsible for designing, developing, and implementing data-driven solutions and machine learning models to support our clients' business goals.
The ideal candidates will have a strong foundation in data engineering, machine learning, and software development, with proven experience in building scalable data pipelines and deploying machine learning solutions. They will also possess excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. If you are passionate about data science and machine learning, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, build, and maintain scalable data pipelines for data ingestion, processing, and storage.</li>
<li>Collaborate with data scientists and stakeholders to understand data requirements and translate them into technical specifications.</li>
<li>Develop and deploy machine learning models for predictive and prescriptive analytics.</li>
<li>Implement and optimize data processing workflows using big data technologies and frameworks.</li>
<li>Ensure data quality, integrity, and availability throughout the data lifecycle.</li>
<li>Monitor and troubleshoot data and machine learning models to ensure high performance and reliability.</li>
<li>Stay current with industry trends, tools, and technologies in data engineering and machine learning.</li>
<li>Document technical processes and provide training on data engineering and machine learning practices.</li>
<li>Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.</li>
</ul>
Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.</li>
<li>Proven experience in data engineering and machine learning development.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms and data modeling techniques.</li>
<li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).</li>
<li>10 years Relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.</li>
<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li>
<li>Relevant certifications in data engineering or machine learning (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are preferred.</li>
<li>Understanding of data governance and data privacy regulations.</li>
<li>Experience with version control systems (e.g., Git) is a plus.</li>
<li>Understanding of National Information Exchange Model (NIEM) is preferred.</li>
<li>Experience with Dublin Core Metadata is a preferred.</li>
</ul>Skills:<ul>
<li>Strong understanding of data engineering practices and machine learning principles.</li>
<li>Ability to design and implement efficient data pipelines and machine learning models.</li>
<li>Excellent analytical and problem-solving skills.</li></ul></div>

Data & ML Engineers

AJEX

<div>
 
 
 
 Job Summary:
 
 
 
 
 
 
 
 
 
 
 
 We are seeking a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics and business intelligence initiatives. You will work closely with stakeholders to ensure data is clean, reliable, and accessible. This role requires a strong understanding of data warehousing principles, ETL processes and data modeling.
 
 
 The ideal candidate will be a critical thinker, an excellent problem-solver, and possess strong communication skills to collaborate effectively with various business stakeholders.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
 </li>
 <li>
 Design and optimize scalable, secure data architectures (e.g., data lakes, data warehouses, real-time streaming systems).
 </li>
 <li>
 Ensure data quality, integrity, and security across all systems.
 </li>
 <li>
 Monitor and troubleshoot data pipeline performance and reliability.
 </li>
 <li>
 Implement data governance best practices and ensure compliance with relevant data privacy regulations (e.g., GDPR, local laws).
 </li>
 <li>
 Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
 </li>
 <li>
 Partners with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
 </li>
 <li>
 Translate business requirements into technical specifications and data models.
 </li>
 <li>
 Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
 </li>
 <li>
 Maintain documentation for data systems and processes.
 </li>
 <li>
 Contribute to the development of CI/CD pipelines for data infrastructure.
 </li>
 <li>
 Evaluate and integrate new tools and technologies to improve data engineering capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 :
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science or equivalent.
 </li>
 <li>
 Should have minimum 6+ years as Data Engineer.
 </li>
 <li>
 Strong proficiency in SQL and programming languages such as Python and Java.
 </li>
 <li>
 Must Needed Skills: Java, Data Modeling, ETL.
 </li>
 <li>
 Strong SQL skills with experience in MySQL, Mongo DB etc.
 </li>
 <li>
 Good to have: Experience dealing with other Business Intelligence Tools
 </li>
 <li>
 Ability to work independently and collaboratively within a team environment
 </li>
 <li>
 Experience in logistics, supply chain, or e-commerce domains is a plus.
 </li>
 </ul>
 
 
</div>

Data Engineer

TAWANTECH

<div>
 <ul>
 <li>
 Develop and maintain the BigID platform's value and critical modules, including core discovery functions, main use cases, and foundational elements such as data sources, correlation sets, policies, sensitivity, Tag, rules, classifiers, and key features
 </li>
 <li>
 Take charge of the installation, configuration, and upgrades for BigID and Usercentrics modules
 </li>
 <li>
 Ensure that the platform operates smoothly through proactive maintenance and oversight
 </li>
 <li>
 Manage scan operations diligently, ensuring comprehensive data source scanning and classification
 </li>
 <li>
 Monitor system performance regularly and troubleshoot any issues that arise
 </li>
 <li>
 Lead the implementation of BigID-related change requests, including the integration of privacy portals with digital channels, ensuring all changes align with organizational goals
 </li>
 <li>
 Facilitate integration with data protection and security technologies and enhance enterprise solutions through BigID's metadata exchange capabilities. Your role will involve ensuring seamless workflows that drive efficiency
 </li>
 <li>
 Utilize BigID functions to effectively implement data privacy use cases
 </li>
 <li>
 Managing consumer data requests, access rights fulfillment, Privacy Impact Assessments (PIA), Record of Processing Activities (RoPA), and data deletion
 </li>
 <li>
 Drive the implementation of data security and protection use cases, focusing on access intelligence, risk assessment, data remediation, and breach response
 </li>
 <li>
 Work collaboratively with cross-functional teams to align on data protection initiatives
 </li>
 <li>
 Ability to integrate BigID with tools like Informatica will be key in deriving business value from the platform
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong experience with BigID platform management, including installation, configuration, and operations
 </li>
 <li>
 Proficiency in Azure DevOps for CI/CD processes
 </li>
 <li>
 Familiarity with Usercentrics modules and functionalities
 </li>
 <li>
 Knowledge of OpenShift for container orchestration
 </li>
 <li>
 Experience in container administration, module configuration, upgrades, and monitoring
 </li>
 <li>
 Technical familiarity with Linux, Kubernetes, networking, databases, and REST APIs
 </li>
 <li>
 Proven experience integrating BigID with ServiceNow and other enterprise solutions
 </li>
 <li>
 Knowledge of data management practices, including NDMO PDPL and NCA compliance
 </li>
 <li>
 Excellent analytical skills to troubleshoot complex issues and design effective workflows
 </li>
 <li>
 Strong interpersonal skills to work effectively with cross-functional teams
 </li>
 <li>
 Ability to communicate technical concepts to non-technical stakeholders
 </li>
 <li>
 Provide regular reports to senior management and relevant stakeholders on privacy program effectiveness, compliance status, and emerging privacy risks
 </li>
 <li>
 Serve as a liaison between Business and Functional areas and technology to ensure data-related business requirements for protecting personal and sensitive data are clearly defined, communicated, and well understood
 </li>
 <li>
 Support the bank in prioritizing processing activities
 </li>
 <li>
 Conduct data flow mapping exercises to identify the journey of personal data from collection to destruction, covering data collection points, systems used for processing, storage, etc
 </li>
 <li>
 Conduct the RoPA exercise and maintain its repository for all personal data processing activities
 </li>
 <li>
 Conduct PIAs for all processing activities identified in the RoPAs to determine which require DPIAs
 </li>
 <li>
 Perform DPIAs based on the results of the PIAs
 </li>
 <li>
 Review the existing ERM framework and provide recommendations for changes considering the KSA PDPL requirements and collaborate with the ERM team to enhance the framework
 </li>
 <li>
 Offer consultation in the event of a data breach or incident, report to senior management promptly, and take necessary actions
 </li>
 <li>
 Facilitate the identification, investigation, management, and resolution of compliance-related issues
 </li>
 <li>
 Prepare relevant compliance reporting to meet both internal and external regulatory requirements
 </li>
 <li>
 Respond to Data Subject Rights Requests (DSRs) and establish policies and procedures for handling DSRs
 </li>
 <li>
 This position may require occasional on-call support and will involve collaboration with various teams to ensure the effective management of data privacy and compliance initiatives
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Information Technology, or a related field
 </li>
 <li>
 5+ years of experience working with the BigID platform or in a similar role
 </li>
 <li>
 Demonstrable expertise in the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations
 </li>
 <li>
 Proven experience working with data governance, privacy, and cybersecurity frameworks specific to the Saudi financial sector (e.g., SAMA's Cyber Security Framework, IT Governance Framework)
 </li>
 <li>
 Strong understanding of privacy principles such as data minimization, purpose limitation, and accountability
 </li>
 <li>
 Excellent communication, interpersonal, and leadership skills, with the ability to influence stakeholders at all levels
 </li>
 <li>
 High level of integrity and professional ethics, with the ability to handle confidential information with discretion
 </li>
 </ul>
</div>

BigID Data Service Expert

<div><ul><li>Develop and maintain the BigID platform's value and critical modules, including core discovery functions, main use cases, and foundational elements such as data sources, correlation sets, policies, sensitivity, Tag, rules, classifiers, and key features.</li><li>Take charge of the installation, configuration, and upgrades for BigID and Usercentrics modules.</li><li>Ensure that the platform operates smoothly through proactive maintenance and oversight.</li><li>Manage scan operations diligently, ensuring comprehensive data source scanning and classification.</li><li>Monitor system performance regularly and troubleshoot any issues that arise.</li><li>Lead the implementation of BigID-related change requests, including the integration of privacy portals with digital channels, ensuring all changes align with organizational goals.</li><li>Facilitate integration with data protection and security technologies and enhance enterprise solutions through BigID&rsquo;s metadata exchange capabilities. Your role will involve ensuring seamless workflows that drive efficiency.</li><li>Utilize BigID functions to effectively implement data privacy use cases.</li><li>Managing consumer data requests, access rights fulfillment, Privacy Impact Assessments (PIA), Record of Processing Activities (RoPA), and data deletion.</li><li>Drive the implementation of data security and protection use cases, focusing on access intelligence, risk assessment, data remediation, and breach response.</li><li>Work collaboratively with cross-functional teams to align on data protection initiatives.</li><li>Ability to integrate BigID with tools like Informatica will be key in deriving business value from the platform.</li></ul>
Requirements<ul><li>Strong experience with BigID platform management, including installation, configuration, and operations.</li><li>Proficiency in Azure DevOps for CI/CD processes.</li><li>Familiarity with Usercentrics modules and functionalities.</li><li>Knowledge of OpenShift for container orchestration.</li><li>Experience in container administration, module configuration, upgrades, and monitoring.</li><li>Technical familiarity with Linux, Kubernetes, networking, databases, and REST APIs.</li><li>Proven experience integrating BigID with ServiceNow and other enterprise solutions.</li><li>Knowledge of data management practices, including NDMO PDPL and NCA compliance.</li><li>Excellent analytical skills to troubleshoot complex issues and design effective workflows.</li><li>Strong interpersonal skills to work effectively with cross-functional teams.</li><li>Ability to communicate technical concepts to non-technical stakeholders.</li><li>Provide regular reports to senior management and relevant stakeholders on privacy program effectiveness, compliance status, and emerging privacy risks.</li><li>Serve as a liaison between Business and Functional areas and technology to ensure data-related business requirements for protecting personal and sensitive data are clearly defined, communicated, and well understood.</li><li>Support the bank in prioritizing processing activities.</li><li>Conduct data flow mapping exercises to identify the journey of personal data from collection to destruction, covering data collection points, systems used for processing, storage, etc.</li><li>Conduct the RoPA exercise and maintain its repository for all personal data processing activities.</li><li>Conduct PIAs for all processing activities identified in the RoPAs to determine which require DPIAs.</li><li>Perform DPIAs based on the results of the PIAs.</li><li>Review the existing ERM framework and provide recommendations for changes considering the KSA PDPL requirements and collaborate with the ERM team to enhance the framework.</li><li>Offer consultation in the event of a data breach or incident, report to senior management promptly, and take necessary actions.</li><li>Facilitate the identification, investigation, management, and resolution of compliance-related issues.</li><li>Prepare relevant compliance reporting to meet both internal and external regulatory requirements.</li><li>Respond to Data Subject Rights Requests (DSRs) and establish policies and procedures for handling DSRs.</li><li>This position may require occasional on-call support and will involve collaboration with various teams to ensure the effective management of data privacy and compliance initiatives.</li></ul>
Qualifications:<ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.</li><li>5+ years of experience working with the BigID platform or in a similar role.</li><li>Demonstrable expertise in the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations.</li><li>Proven experience working with data governance, privacy, and cybersecurity frameworks specific to the Saudi financial sector (e.g., SAMA&rsquo;s Cyber Security Framework, IT Governance Framework).</li><li>Strong understanding of privacy principles such as data minimization, purpose limitation, and accountability.</li><li>Excellent communication, interpersonal, and leadership skills, with the ability to influence stakeholders at all levels.</li><li>High level of integrity and professional ethics, with the ability to handle confidential information with discretion.</li></ul></div>

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Valleysoft | Center of Excellence is on the lookout for a skilled Data &amp; ML Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing data solutions and machine learning models that enable our clients to derive actionable insights from their data.
The ideal candidate will have a strong background in data engineering and machine learning, with experience in creating robust data pipelines and deploying machine learning models in production. You should be comfortable working collaboratively in a fast-paced environment and possess a passion for leveraging data to solve complex problems. If you are ready to take your career to the next level, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, develop, and maintain scalable data processing pipelines and workflows for data ingestion and transformation.</li>
<li>Collaborate with cross-functional teams to gather data requirements and implement ETL processes.</li>
<li>Develop, train, and optimize machine learning models based on business needs and available data.</li>
<li>Ensure data quality, consistency, and accessibility throughout data life cycles.</li>
<li>Monitor and troubleshoot data pipelines and machine learning models to optimize performance.</li>
<li>Stay abreast of industry trends, tools, and technologies relevant to data engineering and machine learning.</li>
<li>Document processes and provide training on data engineering and machine learning practices.</li>
<li>Integrate machine learning solutions into existing applications and systems.</li>
</ul>
Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.</li>
<li>Proven experience as a Data Engineer or Machine Learning Engineer.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms, data pipelines, and data processing frameworks.</li>
<li>Relevant experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).</li>
<li>5 years of relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication and collaboration skills, with the ability to work in a team-oriented environment.</li>
<li>Experience with containerization tools (e.g., Docker) and orchestration systems (e.g., Kubernetes) is a plus.</li>
<li>Relevant certifications in data engineering or machine learning (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are preferred.</li>
<li>Understanding of data governance and privacy regulations is desirable.</li>
<li>Experience with version control systems (e.g., Git) is a plus.</li>
<li>Understanding of National Information Exchange Model (NIEM) is preferred.</li>
<li>Experience with Dublin Core Metadata is preferred.</li>
</ul>Skills:<ul>
<li>Strong understanding of data engineering principles and machine learning workflows.</li>
<li>Ability to design and implement efficient data pipelines and machine learning solutions.</li>
<li>Excellent analytical and problem-solving capabilities.</li></ul></div>

Data & ML Engineer1

Robusta Studio

<div>
 
 About Octopus By RTG
 
 
 
 Octopus by RTG is the tech hiring and outsourcing arm of
 
 Robusta Technology Group
 
 , dedicated to connecting exceptional tech talent with top-tier organizations across the
 
 MENA, GCC, Europe, the US, and Canada
 
 . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to
 
 empower growth, innovation, and excellence
 
 by matching the right talent with the right opportunities.
 
 
 Currently, we are hiring a
 
 Data Scientist
 
 for one of our
 
 partner organizations in KSA
 
 on a
 
 1-year contract
 
 , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Identify and prioritize AI/ML use cases that deliver measurable business value and ROI
 </li>
 <li>
 Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization
 </li>
 <li>
 Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment
 </li>
 <li>
 Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable
 </li>
 <li>
 Collaborate with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines
 </li>
 <li>
 Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance
 </li>
 <li>
 Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance
 </li>
 <li>
 Partner with business stakeholders to translate complex business problems into actionable data-driven solutions
 </li>
 <li>
 Conduct A/B testing and experimentation to measure model effectiveness and optimize outcomes
 </li>
 <li>
 Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance
 </li>
 <li>
 Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights
 </li>
 <li>
 Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities
 </li>
 <li>
 Stay current with latest AI/ML research and evaluate new technologies and techniques for business applications
 </li>
 <li>
 Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models
 </li>
 <li>
 Support the development of enterprise ML platforms and reusable AI/ML components
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Main Requirements
 
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
 </li>
 <li>
 Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
 </li>
 <li>
 Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
 
 
 </li>
 </ul>
 
 Experience &amp; Skills:
 
 
 
 <ul>
 <li>
 5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
 </li>
 <li>
 Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
 </li>
 <li>
 Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
 </li>
 <li>
 Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
 </li>
 <li>
 Demonstrated ability to work with structured and unstructured data (JSON, text, images)
 </li>
 <li>
 Deep understanding of statistical methods, experimental design, and hypothesis testing
 </li>
 <li>
 Proven track record in model deployment, monitoring, and lifecycle management
 </li>
 <li>
 Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
 </li>
 <li>
 Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
 </li>
 <li>
 Experience with deep learning, computer vision, and natural language processing (NLP)
 </li>
 <li>
 Knowledge of generative AI, LLMs, and real-time or edge ML deployment
 </li>
 <li>
 Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
 </li>
 <li>
 Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
 </li>
 <li>
 Excellent communication skills to explain complex analytical findings to non-technical audiences
 </li>
 <li>
 Strong leadership and mentoring abilities, with experience guiding data science teams
 </li>
 </ul>
</div>

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

Explore 1523+ Big data engineer in Riyadh this November. Find roles across top companies and apply now to boost your career.

1523 big data engineer jobs IN Riyadh

Cloudera Engineer

Data & ML Engineers

Data Engineer

BigID Data Service Expert

BigID Data Service Expert

Data & ML Engineer1

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire