science

<div>
 
 
 Company Overview:
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a seasoned and visionary Lead, AI &amp; Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed.
 
 
 You will play a pivotal role in building and scaling the AI &amp; Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Strategic &amp; Technical Leadership
 
 
 <ul>
 <li>
 Define and lead the
 
 AI &amp; Data Science vision and roadmap
 
 , aligned with business priorities.
 </li>
 <li>
 Provide
 
 technical oversight
 
 for AI initiatives across domains:
 </li>
 <li>
 
 Generative AI &amp; LLMs
 
 (fine-tuning, RAG pipelines, multi-agent systems).
 </li>
 <li>
 
 Predictive Analytics &amp; Time-Series Modeling
 
 .
 </li>
 <li>
 
 Computer Vision &amp; Multimodal AI
 
 .
 </li>
 <li>
 
 Reinforcement Learning &amp; Optimization
 
 .
 </li>
 <li>
 
 Knowledge Engineering &amp; Semantic Search
 
 .
 </li>
 <li>
 
 Edge AI &amp; Real-Time AI Deployments
 
 .
 </li>
 <li>
 Act as the
 
 architect and reviewer
 
 of AI systems, ensuring scalability, robustness, and compliance.
 </li>
 <li>
 Guide the adoption of
 
 MLOps best practices
 
 (CI/CD for ML, monitoring, retraining, governance).
 </li>
 <li>
 Drive innovation while balancing
 
 pragmatism and production readiness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Team Development
 
 
 <ul>
 <li>
 Build and grow a
 
 world-class AI &amp; Data Science team
 
 , including
 
 hiring, onboarding, and performance management
 
 .
 </li>
 <li>
 Mentor and coach team members to elevate technical depth and problem-solving skills.
 </li>
 <li>
 Create
 
 career development plans, learning paths, and certification opportunities
 
 for the team.
 </li>
 <li>
 Foster a culture of
 
 collaboration, experimentation, and continuous improvement
 
 .
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Representation
 
 
 <ul>
 <li>
 Work closely with
 
 Product Managers, Solution Architects, and Engineering Leads
 
 to embed AI across the product suite.
 </li>
 <li>
 Translate business challenges into
 
 scalable, impactful AI solutions
 
 .
 </li>
 <li>
 Represent the department in
 
 industry conferences, technical forums, and client engagements
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in AI/ML, including at least 3 years in a
 
 technical leadership or team lead role
 
 .
 </li>
 <li>
 Strong knowledge (architectural &amp; practical) of:
 </li>
 <li>
 
 LLMs, RAG, and AI Agents
 
 .
 </li>
 <li>
 
 Predictive analytics &amp; time-series forecasting
 
 .
 </li>
 <li>
 
 Computer vision, multimodal learning, and geospatial AI
 
 .
 </li>
 <li>
 
 Reinforcement learning and optimization techniques
 
 .
 </li>
 <li>
 
 MLOps practices &amp; data pipelines
 
 .
 </li>
 <li>
 Ability to
 
 review code, design architectures, and guide technical teams
 
 .
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 digital twins, IoT/OT data, and smart systems
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases.
 
 </li>
 <li>
 Knowledge of
 
 AI ethics, explainability, and regulatory compliance
 
 .
 </li>
 <li>
 Experience representing organizations at
 
 global conferences and industry summits
 
 .
 </li>
 </ul>
 
 
 
 
 
 Career Development &amp; Opportunities
 
 
 <ul>
 <li>
 Build and scale your own
 
 AI &amp; Data Science team
 
 .
 </li>
 <li>
 Define
 
 career plans and growth frameworks
 
 for your team members.
 </li>
 <li>
 Access to
 
 continuous training, certifications, and skill development programs
 
 .
 </li>
 <li>
 Opportunities to
 
 attend and present at global AI/tech events
 
 .
 </li>
 <li>
 Collaborate with
 
 top-tier technology partners and thought leaders
 
 .
 </li>
 </ul>
 
 
</div>

Lead AI & Data Science

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Science Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
About the Role: 
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
Responsibilities: 
<ul>
<li>Use data to create new, scalable solutions for business pricing problems.</li>
<li>Design experiments, measure results and provide a point of view in decision-making.</li>
<li>Develop and implement advanced analytics and machine learning models to solve complex business problems.</li>
<li>Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.</li>
<li>Ensure the quality and integrity of data used for analysis and modeling.</li>
<li>Stay up-to-date with the latest trends and advancements in data science and machine learning.</li>
<li>Oversee the deployment of machine learning models into production environments.</li>
<li>Maintain documentation of data science processes and methodologies.</li>
</ul>
Requirements: 
<ul>
<li>4 to 5 years in a data science role</li>
<li>Strong drive to learn, experiment, and drive outcomes.</li>
<li>Strong background in statistical analysis and machine learning.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>
<li>Experience with building custom deep learning models (using pytorch).</li>
<li>Experience with optimization, routing and task assignment problems.</li>
<li>Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a PLUS.</li>
<li>Experience with Google Big Query, and Vertex API is a plus.</li>
<li>Advanced SQL Experience, ability to query complex data correctly and efficiently.</li>
<li>Excellent knowledge of data wrangling and preprocessing techniques.</li>
<li>Strong problem-solving skills and ability to think critically.</li>
<li>Excellent communication skills, with the ability to present complex information clearly and concisely.</li>
<li>A proactive and innovative mindset, with a strong attention to detail.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>

Senior Data Science Engineer

Nagwa

<div>Summary 
 
We are looking to hire a Tutor to join us in our mission to educate the world. The successful candidate shall be responsible for conducting online sessions on &ldquo;Integrated Science&rdquo; and engaging the students during the sessions and helping them prepare for the exams. 
Responsibilities<ul><li>
Conduct online sessions for students through Nagwa Classes according to MoE curriculum to support the learning process</li><li>
Run engagement activities to ensure efficient learning outcomes and communicate with students before and after the sessions through Nagwa Classes</li><li>
Follow up on the student&rsquo;s progress through the assignments sent after each session through Nagwa Classes to ensure that the learning outcomes are reached</li><li>
Provide students with constructive feedback to help students develop their skills and subject knowledge to improve learning outcomes</li></ul>
Qualifications &amp; Work Experience<ul><li>
Bachelor&rsquo;s degree in any relevant discipline</li><li>
Ability to collect, interpret, and summarize data</li><li>
2-4 years of relevant teaching experience</li><li>
Experience in differentiated instruction to deliver different learning needs and styles</li><li>
Previous online tutoring is a plus</li><li>
Proficient in Arabic</li><li>
Intermediate in English (or language of the subject)</li><li>
Having a laptop or desktop computer is a must</li></ul> 
Behavioural Competencies<ul><li>
Strong communication skills in verbal and written</li><li>
Leadership skills</li><li>
Time management</li><li>
Accountability and ownership</li><li>
Problem solving</li><li>
Attention to detail</li></ul>
bg2xiwj0M5</div>

Freelance Integrated Science Tutor - Secondary

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Scientist

AstraZeneca

<div>Job Title: Medical Scientific Liaison / Medical Advisor, CVRM - Delta
Introduction to role
It&rsquo;s a Career opportunity for ambitious Cardiologists &amp; Nephrologists in Delta region. Here you&rsquo;ll have the opportunity make a significant difference to patients&rsquo; lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines &ndash; for the world&rsquo;s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem. With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much yet is still moving forward. There&rsquo;s no better time to join our global, growing enterprise as we lead the way for healthcare and society.
Accountabilities
In this role, you will deliver AstraZeneca's updated medical information to healthcare professionals through various channels. You will efficiently manage clinical studies, ensuring they meet quality, cost, and time standards, and provide monitoring services from start to finish. You will plan and complete projects, delivering progress reports as needed. Additionally, you will contribute to team development by sharing knowledge and coaching. You will ensure patient safety and compliance with adverse event reporting standards and manage the provision of named patient supplies in line with regulatory and ethical obligations. Lastly, you will coordinate pharmacovigilance systems to meet regulatory requirements and AstraZeneca standards.
Essential Experience<ul><li>Master&rsquo;s degree in medicine or a related field</li><li>Physician with at least 5 years of clinical experience in either the nephrology or cardiology departments!</li></ul>
- Resident in Mansoura - Tanta - Zagazig is a must<ul><li>Ready to Travel 50% of the time</li><li>Fluency in spoken and written English language</li></ul>
Desirable Skills/Experience<ul><li>Pharmaceutical experience is an asset</li><li>Working towards MD/PHD</li><li>Ability to interact and manage a range of stakeholders both internally and externally</li><li>Knowledge of legislation relevant to Pharmaceutical Ecosystem</li><li>Deep interest and understanding of science</li><li>Strong collaborator and reflects strong influence capability</li></ul>
. Possess effective communication and facilitation skills
At AstraZeneca, we change the practice of medicine and improve the patient experience by generating and communicating compelling medical evidence. We translate our wealth of medical and scientific expertise to ensure that the data we produce helps physicians better treat patients at every point in their journey. Our culture is one of openness and transparency, fused with ambition and drive. We work seamlessly and inclusively across teams, roles, and levels to leverage our diverse skills and go further together. Join us in our mission to redefine cardiovascular treatment and make a significant impact on patients' lives.</div>

Medical Scientific Liaison / Medical Advisor, CVRM - Delta

Envision Employment Solutions is currently looking for a Digital Manufacturing Engineer for one of our partners, a global leader in the food and services industry.
 
Job Summary: 
As a Digital Manufacturing Engineer, you will serve as a dynamic catalyst in accelerating innovation and prototyping within the Digital Factory. This role is designed for enthusiastic individuals with foundational experience in areas such as Generative AI, AI, Coding (full stack), Data Science, or another Tech related field.
 
Responsibilities: 
<ul>
<li>Actively applying IT knowledge to support innovative projects, contributing to efficient project goal attainment and driving the implementation of groundbreaking solutions in the Digital Commerce sector.</li>
<li>Work synergistically with varied stakeholders and continually expand technical acumen, enhancing the Digital Factory’s capability and fostering an environment of continuous improvement and learning.</li>
<li>Participate in developing and refining effective solutions, aligning with business objectives to deliver value-driven results, and ensuring the realization of strategic technology initiatives within the company.</li>
<li>Maintain project coherence, ensure seamless integration with organizational objectives, and embrace varied tasks with commitment and adaptability, unlocking new avenues of value in the Digital Commerce domain</li>
<li>Maintains abreast of tech trends and adapts, aligning contributions to organizational strategies.</li>
<li>Collaborates and conveys organizational strategies effectively, translating them into actionable insights.</li>
<li>Participates actively in teams, contributing to the development of product & platform roadmaps in alignment with organizational goals.</li>
<li>Engages with vendors and customers, aligning insights and actions with organizational and customer needs</li>
<li>Actively explores and assimilates new technologies and methodologies that align with strategic objectives, contributing to disruptive value propositions.</li>
<li>Participates in the development and refinement of solutions, ensuring they align with business plans and enterprise roadmaps, while contributing insights and perspectives.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor’s degree in computer science, Information Technology, or a related field.</li>
<li>At least 3-4 years of experience in IT, particularly in areas like 3-tier architecture, Generative AI, ML models – Computer Vision, Data Science/Analysis, or part of Startup. Experience in rapid prototyping is a plus.</li>
<li>Advanced proficiency in Python, medium proficiency in Frontend technologies such as React</li>
<li>Familiar with OOP, TDD, Design Patterns, MVC, MVVM, RestFUL API and modern UI-frameworks like React/Angular/Vue</li>
<li>Mobile App and computer vision is a plus</li>
<li>Certification in a recognized technical domain is beneficial but not mandatory.</li>
<li>Eagerness to learn new technologies and adapt to changes quickly. Ability to embrace and leverage new learning opportunities.</li>
<li>Effective interpersonal and communication skills. Ability to collaborate with different teams and contribute to a positive working environment.</li>
<li>Proficiency in English is essential.</li>
<li>Preferred But Not Required: Exposure to Agile and DevSecOps environments and familiarity with platform and product-oriented approaches.</li>
</ul>

Digital Manufacturing Engineer

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

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