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senior environmental data scientist

M42 Health

<div>
 
 M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.
 
 
 
 
 
 The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI &amp; Product Development
 
 
 <ul>
 <li>
 Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.
 </li>
 <li>
 Translate complex scientific and regulatory requirements into scalable AI-driven solutions.
 </li>
 <li>
 Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.
 </li>
 <li>
 Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.
 </li>
 <li>
 Help grow the Digital EVS portfolio.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy &amp; Analytics
 
 
 <ul>
 <li>
 Lead the acquisition, curation, and harmonization of diverse environmental datasets.
 </li>
 <li>
 Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.
 </li>
 <li>
 Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.
 </li>
 <li>
 Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Collaboration &amp; Engagement
 
 
 <ul>
 <li>
 Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.
 </li>
 <li>
 Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.
 </li>
 <li>
 Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.
 </li>
 <li>
 Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.
 </li>
 </ul>
 
 
 
 
 
 Project Management
 
 
 <ul>
 <li>
 Design/collate Business requirements/documents.
 </li>
 <li>
 Define Project Scope and Objectives.
 </li>
 <li>
 Plan Data Acquisition and Preparation.
 </li>
 <li>
 Coordinate Model Development and Evaluation.
 </li>
 <li>
 Manage Stakeholder Communication.
 </li>
 <li>
 Ensure Compliance and Deployment Readiness.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.
 </li>
 <li>
 Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.
 </li>
 <li>
 Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).
 </li>
 <li>
 Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.
 </li>
 <li>
 Solid understanding of data governance, ethics, and regulatory compliance.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.
 </li>
 <li>
 Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.
 </li>
 <li>
 Familiarity with UAE regulatory frameworks and international sustainability initiatives.
 </li>
 <li>
 Strong stakeholder management and science communication skills.
 </li>
 </ul>
</div>

Senior Environmental Data Scientist

National Reference Laboratory

<div></div><div><div><div><div><div><div><div>ID</div>
<div>2025-4667
</div></div><div><div>Category</div>
<div>Digital &amp; Technology
</div></div><div><div>Asset : Name</div>
<div>Environmental Sciences
</div></div><div><div>City</div>
<div>Abu Dhabi
</div></div></div></div></div></div><h2 class="jobSectionHeader">Overview
</h2><div><div><div><div>M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.</div><div></div><div> 
The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.</div>
</div></div></div><h2 class="jobSectionHeader">Responsibilities
</h2><div><div><div><div>AI &amp; Product Development</div><ul><li>
Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.</li><li>
Translate complex scientific and regulatory requirements into scalable AI-driven solutions.</li><li>
Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.</li><li>
Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.</li><li>
Help grow the Digital EVS portfolio</li></ul><div>
Data Strategy &amp; Analytics</div><ul><li>
Lead the acquisition, curation, and harmonization of diverse environmental datasets.</li><li>
Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.</li><li>
Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.</li><li>
Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.</li></ul><div>
Cross-Functional Collaboration &amp; Engagement</div><ul><li>
Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.</li><li>
Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.</li><li>
Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.</li><li>
Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.</li></ul><div>
Project Management</div><ul><li>
Design/collate Business requirements/documents</li><li>
Define Project Scope and Objectives</li><li>
Plan Data Acquisition and Preparation</li><li>
Coordinate Model Development and Evaluation</li><li>
Manage Stakeholder Communication</li><li>
Ensure Compliance and Deployment Readiness</li></ul>
</div></div></div><h2 class="jobSectionHeader">Qualifications
</h2><div><div><div><div>Minimum Qualifications</div><ul><li>
Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.</li><li>
Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.</li><li>
Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).</li><li>
Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.</li><li>
Solid understanding of data governance, ethics, and regulatory compliance.</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.</li><li>
Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.</li><li>
Familiarity with UAE regulatory frameworks and international sustainability initiatives.</li><li>
Strong stakeholder management and science communication skills.</li></ul></div></div></div></div><div></div>

<div>
 
 Overview
 
 
 
 M42 is a global health champion powered by artificial intelligence (AI), technology and genomics to advance innovation in health for people and the planet. Headquartered in Abu Dhabi, M42 combines its specialized, state-of-the-art facilities with integrated health solutions like genomics and biobanks, and harnesses advanced technologies to deliver precise, preventive and predictive care, to impactfully disrupt traditional healthcare models and positively impact lives globally.
 
 
 Established in 2022, following the coming together of G42 Healthcare and Mubadala Health, M42 has more than 480 facilities in 26 countries and over 20,000 employees. M42 includes renowned healthcare providers including Cleveland Clinic Abu Dhabi, Danat Al Emarat, Diaverum, Imperial College London Diabetes Centre, Sheikh Sultan bin Zayed Hospital, and Moorfields Eye Hospital Abu Dhabi. As well as operating the Emirati Genome Programme, M42 runs Abu Dhabi BioBank and Abu Dhabi Health Data Services (ADHDS), a global tech-enabled healthcare company operating Malaffi.
 
 
 The Organic Chemistry Scientist assists the Senior Scientist in solving complex problems in a scientific, technology or engineering domain and is primarily responsible for supporting the analytical testing requirements of the wastewater monitoring laboratory and interpreting scientific data of moderate to difficult complexity. The Organic Chemistry Scientist supervises work and performance of laboratory technicians and with their assistance checks and pre-approves the test results obtained from sample analysis in order to satisfy the needs of the project&rsquo;s Stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conducting advanced organic chemistry analyses using LCMSMS, GCMSMS, HRMS, and related systems.
 </li>
 <li>
 Supervising laboratory technicians and approving analytical results.
 </li>
 <li>
 Developing, optimizing, and validating test methods for wastewater monitoring.
 </li>
 <li>
 Supporting regulatory compliance, audit readiness, and QA/QC standards.
 </li>
 <li>
 Applying statistical tools to analyze data, identify root causes, and resolve issues.
 </li>
 <li>
 Maintaining calibration, troubleshooting, and operation of chromatography and mass spectrometry systems.
 </li>
 <li>
 Providing technical training and mentorship to laboratory personnel.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MSc in Analytical Chemistry with specialization in Organic Chemistry (or related discipline).
 </li>
 <li>
 Minimum 2 years&rsquo; experience in a chemistry lab environment, ideally wastewater or water testing.
 </li>
 <li>
 Proven expertise in advanced organic analyses (OCPs, PCBs, VOCs, SVOCs, PAHs, hormones, PPCPs, drugs).
 </li>
 <li>
 Proficiency with sample preparation techniques (SPE, LLE, SPME, Headspace-trap, Thermal desorption).
 </li>
 <li>
 Strong knowledge of QA/QC, ISO standards (17025, 9001, 14001), and LIMS systems (Labware).
 </li>
 <li>
 Ability to supervise projects, mentor staff, and communicate technical data effectively.
 </li>
 </ul>
</div>

Organic Chemistry Scientist

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Etihad

<div>
 
 Synopsis
 
 
 
 We are looking for a detail-oriented Data Scientist to help unlock the power of data to drive smarter decisions and innovation. As a data scientist, you&rsquo;ll transform complex data into actionable insights, build predictive models and help shape data driven strategies that make a real impact.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Deliver actionable insights and predictive models that inform strategic decision making
 </li>
 <li>
 Ensure data science models are robust, explainable, and aligned with business objectives.
 </li>
 <li>
 Maintain data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Collaborate across teams to embed models into production environments
 </li>
 <li>
 Uphold ethical use of data, ensuring compliance with governance, privacy, and regulation
 </li>
 <li>
 Collect clean and pre process large data sets from various structured sources
 </li>
 <li>
 Perform exploratory data analysis (EDA)
 </li>
 <li>
 Develop and validate statistical models
 </li>
 <li>
 Build data visualisation using matplotlib, seaborn, Plotly or BI tools such as Tableau
 </li>
 <li>
 Expericnce with MS Aure cloud platforms and Databricks
 </li>
 <li>
 High proficiency in coding languages of SQL, Python
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 4+ years of experience in a data science or similar role.
 </li>
 <li>
 University degree, technology certifications advantageous .
 </li>
 <li>
 Experience following the Scrum methodology (certification is desirable)
 </li>
 <li>
 Great communication skills
 </li>
 <li>
 Familiar with Machine Learning
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>

Data Scientist

Abu Dhabi Airports Company

<div>The Manager AES &ndash; Training and Standards is responsible for leading the planning, delivery, and continuous improvement of training, competency, and compliance functions within Airport Emergency Services (AES) Training across Abu Dhabi Airports. The role ensures AES personnel meet required standards of operational readiness, regulatory compliance, and professional development in line with GCAA, ICAO, and AD Airports&rsquo; frameworks.
Reporting to the Senior Manager Airports Emergency Services, the role holder maintains AES preparedness through structured training programs, a robust Revalidation of Competence (ROC) regime, and quality assurance systems. Additionally, the role supports departmental strategy, budget management, capability planning, and may act as AES Manager during periods of absence. 
Responsibilities
Training Strategy &amp; Delivery
<ul><li>Implement and maintain AES training programs aligned with regulatory and operational requirements.
</li><li>Ensure structured, auditable training (initial and recurrent) aligned with GCAA and ICAO standards.
</li><li>Oversee training deployment across all AES staff categories.
</li></ul>Regulatory Compliance &amp; Assurance
<ul><li>Ensure full compliance with GCAA, ICAO, and other international standards.
</li><li>Establish/manage internal audits and self-assessments on training and certification.
</li></ul>Competency Management
<ul><li>Oversee Revalidation of Competence (ROC) system.
</li><li>Monitor operational currency and ensure staff maintain required qualifications.
</li></ul>Policy, Procedure &amp; Documentation
<ul><li>Maintain standardized training manuals, SOPs, and assessment tools.
</li><li>Ensure version control and regular updates of documentation.
</li></ul>People Leadership &amp; Performance
<ul><li>Line manage the Senior Officer AES Training and team.
</li><li>Support departmental capability building, succession planning, and talent development.
</li></ul>Instructor Workforce Management
<ul><li>Lead and manage Fire Service Instructor cadre.
</li><li>Standardize instructional delivery and ensure instructor competency.
</li></ul>Operational Readiness &amp; Exercises
<ul><li>Plan and execute live/simulated emergency exercises.
</li><li>Evaluate outcomes and lead improvement planning.
</li></ul>Quality Assurance &amp; Audit Readiness
<ul><li>Foster a compliance culture through internal QA and audits.
</li><li>Support readiness for external regulatory audits.
</li></ul>Stakeholder Engagement
<ul><li>Liaise with GCAA, internal audit teams, and stakeholders.
</li><li>Represent AES in external and inter-agency meetings.
</li></ul>Technology &amp; Innovation
<ul><li>Promote modern/blended learning solutions (e-learning, simulation, digital tools).
</li><li>Recommend adoption of industry advancements.
</li></ul>Reporting &amp; Budget Support
<ul><li>Track training KPIs and compliance data; produce reports.
</li><li>Support budget preparation and expenditure tracking.
</li></ul>Project &amp; Change Support
<ul><li>Deliver training during transformation initiatives and new system rollouts.
</li></ul>Medical &amp; Fitness Oversight
<ul><li>Manage AES firefighter medical and fitness program.
</li><li>Coordinate with occupational health, HR, and line managers.
</li><li>Inform readiness and wellness strategies using assessment data.
</li></ul>Management Cover
<ul><li>Act as AES Manager during absence, ensuring leadership and compliance continuity.
</li></ul>Safety &amp; Environmental Responsibilities
<ul><li>Comply with Safety Management System (SMS).
</li>Support environmental sustainability and prevent pollution. 
<li>
</li></ul>Requirements &amp; Skills
Top Competencies
<ul><li>Proven ability to develop and lead high-performing teams.
</li><li>Strong communication, leadership, and stakeholder engagement skills.
</li><li>Proficiency in MS Office, LMS, and reporting tools.
</li><li>Deep knowledge of GCAA and ICAO compliance standards.
</li></ul>Education &amp; Qualifications
<ul><li>Bachelor&rsquo;s degree in Fire Science, Emergency Management, or related field.
</li><li>Certifications in Fire Service Training and Incident Command Systems.
</li></ul>Experience
<ul><li>Minimum 7 years relevant experience, including at least 3 years in senior training or compliance role.
</li><li>Extensive fire and rescue services background, ideally in aviation or high-risk environments.
</li><li>Proven experience managing structured learning and regulatory frameworks.</li></ul></div>

Manager AES – Training and Standards

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

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