project director

project engineer

data scientist

quality engineer

software engineer

research and development scientist

Confidential Company

<div>
 <p>
  <strong>
   Position Summary:
  </strong>
 </p>
 <p>
  We are seeking a highly skilled and motivated PhD-level R&amp;D Scientist with 3&ndash;4 years of experience in drilling fluid systems and simulation modeling. The ideal candidate will lead and contribute to the development and optimization of advanced drilling fluid technologies and digital simulation tools to enhance wellbore stability, efficiency, and sustainability in drilling operations.
 </p>
 <p>
  This is a strategic role for someone who combines deep technical knowledge with hands-on experience in lab research, fluid rheology, and numerical modeling.
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead and conduct R&amp;D projects focused on designing, testing, and improving drilling fluid systems (water-based, oil-based, synthetic-based, or polymer-based).
  </li>
  <li>
   Develop and implement simulation models (e.g., hydraulics, thermal modeling, cuttings transport, fluid loss) to predict drilling fluid performance in various well conditions.
  </li>
  <li>
   Utilize numerical tools (e.g., ANSYS, COMSOL, CFD, or custom simulators) to optimize formulations and drilling parameters.
  </li>
  <li>
   Conduct laboratory experiments to assess rheology, stability, filtration, and other key drilling fluid properties under HPHT conditions.
  </li>
  <li>
   Analyze experimental and field data to correlate simulation models with real-world performance.
  </li>
  <li>
   Collaborate with field engineers, product development teams, and clients to troubleshoot field challenges and deliver customized fluid solutions.
  </li>
  <li>
   Write technical reports, research papers, and contribute to patent filings and conference presentations.
  </li>
  <li>
   Stay updated on emerging technologies, materials, and digital innovations in drilling and well construction.
  </li>
 </ul>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   PhD in Chemistry , Petroleum Engineering, Chemical Engineering, or a related field with a specialization in drilling fluids ..
  </li>
  <li>
   3&ndash;4 years of industry or academic R&amp;D experience focused on drilling fluid systems and simulation.
  </li>
  <li>
   Strong knowledge of fluid rheology, wellbore hydraulics, HPHT testing, and formation interactions.
  </li>
  <li>
   Strong problem-solving abilities and capability to design and conduct structured research programs.
  </li>
  <li>
   Excellent written and verbal communication skills, including the ability to present technical findings to both technical and non-technical audiences
  </li>
 </ul>
 <p>
 </p>
</div>


Research And Development Scientist

Mozn

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 <br/>
 <br/>
 <strong>
  <strong>
   What you&rsquo;ll d
  </strong>
 </strong>
 <strong>
  <strong>
   o
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
  </li>
  <li>
   Communicate highly technical results and methods clearly to a wide variety of external clients.
  </li>
  <li>
   Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
  </li>
  <li>
   Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
  </li>
  <li>
   Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
  </li>
  <li>
   Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
  </li>
  <li>
   Plan and execute solutions' development from data gathering to intelligent decision making.
  </li>
  <li>
   Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
  </li>
  <li>
   Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
  </li>
  <li>
   Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
  </li>
  <li>
   Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
  </li>
  <li>
   Applied experience in machine learning, such as conducting model experiments.
  </li>
  <li>
   Experience in version control systems, such as Git, GitHub.
  </li>
  <li>
   Programming experience in SQL or NoSQL is preferred.
  </li>
  <li>
   Familiarity with big data technologies, such as Spark.
  </li>
  <li>
   Experience in deep learning frameworks, such as PyTorch.
  </li>
  <li>
   Expertise in Natural Language Understanding and/or Risk Management applications.
  </li>
  <li>
   Familiarity with containerization frameworks, such as Docker.
  </li>
  <li>
   Research experience in optimization and natural language processing (NLP).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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>


Data Scientist

HPC Hamburg Port Consulting GmbH

<div><p>Hamburger Hafen und Logistik AG (HHLA) is a leading European logistics company. Together with its customers, HHLA develops logistics and digital hubs for the transport streams of the future. In doing so, it focuses on innovative technologies and sustainable solutions. Over 6,300 employees work for HHLA. For clients in more than 100 countries, the HHLA consulting company HPC Hamburg Port Consulting has already proven its competence in the planning and further development of ports and rail terminals worldwide.</p>
<h1 class="jobSectionHeader"><b>
Data Scientist (m/f/d) Riyadh, Saudi-Arabien</b></h1>
<p>
HPC Hamburg Port Consulting GmbH</p>
<p>
Riyadh, Kingdom of Saudi Arabia</p>
<p>
IT</p>
<p><b>
Become a part of HPC and shape the future with us!</b></p>
<p>
As a <b>Data Scientist (m/f/d)</b>, you will develop impactful AI and machine learning solutions for our port and logistics processes. From RAG pipelines to lakehouse architectures and MLOps on Azure: with us, you&rsquo;ll work in an environment where modern technologies meet real-world impact. You won&rsquo;t just be building prototypes &ndash; you&rsquo;ll be creating production-grade systems that drive daily port and logistics operations.</p>
<p><b>
Are you looking for a fresh perspective with plenty of responsibility and creative freedom?</b><br>
<b>Then apply now!</b></p>
<h3 class="jobSectionHeader"><b>
What you can expect:</b></h3>
<ul><li>You develop AI and machine learning solutions for the future of port and logistics processes &ndash; from accurate predictions (e.g., arrival times, throughput times, maintenance) and optimization models to LLM-based applications using RAG or multi-agent setups</li>
<li>You build models, design pipelines, ensure smooth integration into the lakehouse, and manage operations with modern MLOps methods</li>
<li>You collaborate closely with Data Governance, IT Security (KRITIS), Enterprise Architecture, Cloud/Infrastructure teams, and BI to bring innovative solutions into the organization securely and sustainably</li>
<li>You make results tangible with BI tools, define KPIs, and support colleagues through workshops and knowledge sharing</li>
<li>Throughout, you keep data protection, compliance, and the AI Act in mind &ndash; ensuring our solutions are not only smart but also trustworthy</li>
</ul><h3 class="jobSectionHeader"><b>Your profile:</b></h3>
<ul><li>Several years of experience in data science/machine learning &ndash; from modeling to production deployment</li>
<li>Strong knowledge of Python and the common ML stack</li>
<li>Hands-on experience with MLOps (MLflow, CI/CD, containers/Kubernetes) and cloud environments (ideally Azure)</li>
<li>Initial practical experience with LLM applications (RAG, embeddings, prompting) or strong motivation to quickly build expertise in this field</li>
<li>Ideally, experience in data governance and security (e.g., GDPR, AI Act)</li>
<li>You communicate effectively and have excellent English skills</li>
</ul>
<p><b>Are you interested, but don't fulfil all the requirements? Let's have a conversation!</b></p>
<h3 class="jobSectionHeader"><b>
What we offer:</b></h3>
<ul><li>Work from home and in our new office in Riyadh</li>
<li>A competitive salary and exciting career paths</li>
<li>Flexible working and a good work-life balance: flextime, mobile working and 30 days of vacation</li>
<li>An open feedback culture: regular feedback sessions and talks</li>
<li>A wide range of internal and external training courses, training and workshops</li>
<li>Together into the future: Permanent employment and a company pension scheme</li>
</ul>
<p>As an international logistics company with its roots in Hamburg, HHLA stands for cosmopolitanism and tolerance. We are convinced of the advantages of different perspectives, experiences and competences. Our aim is to create a working environment in which humanity, mutual respect and appreciation are the basis for the actions of all employees.</p>
<p>
If you would like to shape the future of HPC together with us, we look forward to receiving your detailed application - preferably online via our application form.</p>
<h3 class="jobSectionHeader"><b>
Your contact</b></h3>
<p>
HPC Hamburg Port Consulting GmbH<br>
HR Management<br>
Daria Petersen</p></div>

Data Scientist (m/f/d) Riyadh, Saudi-Arabien

MBC GROUP

<div>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Model Development &amp; Implementation
   </strong>
   : Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
  </li>
  <li>
   <strong>
    AI Solutions
   </strong>
   : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
  </li>
  <li>
   <strong>
    Data Analysis &amp; Exploration
   </strong>
   : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
  </li>
  <li>
   <strong>
    Collaborative Problem Solving
   </strong>
   : Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
  </li>
  <li>
   <strong>
    Model Optimization
   </strong>
   : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
  </li>
  <li>
   <strong>
    Scalability &amp; Performance
   </strong>
   : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
  </li>
  <li>
   <strong>
    Stay Current with AI Trends
   </strong>
   : Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
  </li>
  <li>
   <strong>
    Reporting &amp; Communication
   </strong>
   : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  </li>
  <li>
   Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
  </li>
  <li>
   Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Strong proficiency in programming languages such as Python, R, or similar.
  </li>
  <li>
   Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
  </li>
  <li>
   Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
  </li>
  <li>
   Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


SALLA

<div><p>As a Lead Data Scientist at Salla, you will take a pivotal role in leading our data science initiatives, shaping data strategy, and driving innovation through advanced analytics and machine learning. You will work closely with cross-functional teams to harness the power of data and deliver impactful insights that guide business decisions. Your mastery in data science will enable you to develop and implement sophisticated models and algorithms that solve challenging business problems.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul>
<li>Lead complex data science projects from conception to deployment, focusing on business impact and scalability.</li>
<li>Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices.</li>
<li>Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions.</li>
<li>Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data.</li>
<li>Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics.</li>
<li>Communicate findings, insights, and recommendations to both technical and non-technical audiences.</li>
<li>Ensure code quality and maintainability by promoting best practices in software development.</li>
<li>Ability to work in a fast-paced environment and manage multiple projects simultaneously.</li>
<li>Master's or PhD in Data Science, Machine Learning, Statistics, or a related quantitative field.</li>
</ul><p><b>Requirements</b></p><p></p><ul>
<li>6+ years of experience in data science, with a proven track record of leading projects and teams.</li>
<li>Extensive experience in building and deploying machine learning models in production environments.</li>
<li>Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop).</li>
<li>Strong understanding of statistical analysis, predictive modeling, and data mining techniques.</li>
<li>Experience in mentoring and developing team members.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
</ul><ul><li>Experience with Natural Language Processing (NLP) and computer vision.</li>
<li>Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions.</li>
</ul><p><b>Benefits</b></p><ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Lead Data Scientist

Salla

<div>
 As a Lead Data Scientist at Salla, you will take a pivotal role in leading our data science initiatives, shaping data strategy, and driving innovation through advanced analytics and machine learning. You will work closely with cross-functional teams to harness the power of data and deliver impactful insights that guide business decisions. Your mastery in data science will enable you to develop and implement sophisticated models and algorithms that solve challenging business problems.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead complex data science projects from conception to deployment, focusing on business impact and scalability
  </li>
  <li>
   Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices
  </li>
  <li>
   Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions
  </li>
  <li>
   Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data
  </li>
  <li>
   Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics
  </li>
  <li>
   Communicate findings, insights, and recommendations to both technical and non-technical audiences
  </li>
  <li>
   Ensure code quality and maintainability by promoting best practices in software development
  </li>
  <li>
   Ability to work in a fast-paced environment and manage multiple projects simultaneously
  </li>
  <li>
   Master's or PhD in Data Science, Machine Learning, Statistics, or a related quantitative field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6+ years of experience in data science, with a proven track record of leading projects and teams
  </li>
  <li>
   Extensive experience in building and deploying machine learning models in production environments
  </li>
  <li>
   Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop)
  </li>
  <li>
   Strong understanding of statistical analysis, predictive modeling, and data mining techniques
  </li>
  <li>
   Experience in mentoring and developing team members
  </li>
  <li>
   Excellent analytical, problem-solving, and communication skills
  </li>
  <li>
   Experience with Natural Language Processing (NLP) and computer vision
  </li>
  <li>
   Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical Health Insurance
  </li>
  <li>
   Performance Bonus
  </li>
  <li>
   Others
  </li>
 </ul>
</div>


Alfaisal University

<div></div><div><div><h5 class="jobSectionHeader"><b>Overview</b></h5>
<div></div><div><div><div>Department<b> College of Science</b></div>
</div><div></div><div><div>Division<b>All College Disciplines
</b></div></div></div><div></div><div><div><div>Job Family<b>Faculty- Academic</b></div>
</div><div></div><div><div>Reports to<b>Director of the Department</b></div>
</div></div><div></div><div><div><div>Location<b>Alfaisal University - Riyadh
</b></div></div></div></div><div><h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>The Research Assistant provides technical, operational, and administrative support for laboratories and research activities across the university. The role involves assisting with research projects, maintaining lab equipment and supplies, supporting faculty and student research, implementing lab safety procedures, and contributing to the development and documentation of research outputs. The position is designed to ensure efficient and compliant lab operations that facilitate high-quality research and learning environments. The research Assistant also implements lab safety policies and procedures and handles all administrative aspects of the labs.</p>
<p><b>Primary Duties &amp; Responsibilities</b></p>
<ul><li>Supports research projects by preparing materials, assisting in experiments, and collecting and organizing data as directed by research faculty or lab heads to ensure smooth research progress.</li>
<li>Supervises and assists students and junior staff during laboratory sessions, ensuring adherence to lab protocols and safety standards to maintain a safe learning environment</li>
<li>Performs routine laboratory duties including maintaining equipment, managing supplies and inventory, and handling basic troubleshooting and maintenance to ensure lab readiness.</li>
<li>Implements and ensures compliance with lab safety policies and procedures; conducts regular self-inspections to maintain a safe research environment and control hazards.</li>
<li>Maintains accurate records of lab activities, equipment maintenance, and research documentation to support traceability and accountability.</li>
<li>Provides technical guidance and training to staff and students on proper laboratory techniques and safety protocols to enhance competence and safety.</li>
<li>Participates in professional development activities to stay current with advancements in laboratory procedures and research methodologies, ensuring up-to-date practices.</li>
<li>Assists with administrative aspects of lab operations, including scheduling, procurement, and documentation for audits or accreditations to support operational efficiency.</li>
<li>Contributes to the preparation of research-related documentation such as reports, articles, and grant support materials to facilitate knowledge sharing and funding.</li>
<li>Maintains regular availability for consultation and support to faculty, students, and collaborators involved in research or lab-based coursework to foster collaboration and problem-solving.</li>
<li>Performs all duties in a professional, effective, and confidential manner.</li>
<li>Performs all other related duties as required or assigned by the manager.</li><br>
</ul><br>
<h4 class="jobSectionHeader"><b>Education &amp; Experience</b></h4>
<ul><li>Bachelor's degree in a scientific or health-related field (e.g., Science, Biomedical Sciences, Pharmacy, Engineering or related field from accredited institute.</li>
<li>Minimum of three (03) years of experience in research, laboratory environment institution or related fields.
</li></ul><br>
<b>Please upload CV in ENGLISH ONLY</b></div></div><p></p>

Research Assistant

Explore 3946+ Research and development scientist in Saudi Arabia this October. Find roles across top companies and apply now to boost your career.

3946 research and development scientist jobs IN Saudi Arabia

Research And Development Scientist

Data Scientist

Data Scientist (m/f/d) Riyadh, Saudi-Arabien

Data Scientist

Lead Data Scientist

Lead Data Scientist

Research Assistant