geospatial scientist

Esri

<div>Overview

Are you passionate about applying data science and artificial intelligence to solve some of the world's biggest challenges? So are we! Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&amp;D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. 
 
Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning. 
 
As a Data Scientist, you will develop foundation and task specific deep learning models for various modalities of GIS data including Satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, love maps or geospatial datasets/imagery, this is the place to be!

Responsibilities
<ul>
<li>Develop tools, APIs and pretrained models for geospatial AI</li>
<li>Integrate ArcGIS with popular deep learning libraries such as PyTorch</li>
<li>Develop foundation models for computer vision, language, location and multimodal data</li>
<li>Develop AI Agents / Assistants to perform various GIS tasks</li>
<li>Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries</li>
<li>Curate and pre/post-process data for deep learning models and transform it into geospatial information</li>
<li>Perform comparative studies of various deep learning model architectures</li>
</ul>
Requirements
<ul>
<li>2 to 8 years of experience with Python, in data science and deep learning</li>
<li>Self-learner with coursework in and extensive knowledge of machine learning and deep learning</li>
<li>Expertise in one or more of the following areas:
<ul><li>Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more)</li>
<li>Transformer models applied to computer vision and natural language processing</li>
<li>Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more</li>
<li>Development of AI assistants / Agents to perform specific tasks</li>
<li>Building from the scratch / finetuning, multi modal foundation models</li>
</ul></li><li>Experience with hyperparameter-tuning and training models to a high level of accuracy</li>
<li>Bachelor's degree in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges</li>
<li>Existing work authorization in India</li>
</ul>
Recommended Qualifications
<ul>
<li>Experience applying deep learning to satellite or medical imagery or geospatial datasets</li>
<li>Familiarity with ArcGIS suite of products and concepts of GIS</li>
<li>Practical experience applying deep learning concepts from theory to code, evidenced by at least one significant project (internship, research, or personal portfolio)</li>
</ul>
#LI-Onsite

#LI-PK1<div>
The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.

If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</div></div>

Data Scientist - GeoAI

Appliedecologyinc

Overview Applied Ecology, Inc., a small, but rapidly expanding environmental consulting business, is seeking a highly motivated and qualified GIS / Remote Sensing Scientist with expertise in collecting and applying various remote sensing data for environmental and ecological investigations. AEI has three offices located in Florida (Orlando, Melbourne, and Tampa) and is a regional leader in water resources, ecological and natural resources, geospatial, and environmental remediation and compliance services. As a small business, we are involved in diverse yet challenging environmental research projects that require innovative approaches and out-of-the-box solutions. Our business provides a great opportunity for an individual passionate about research to solve real-world environmental problems while working with a highly qualified multi-disciplinary team of scientists and engineers. This position is ideal for someone who prefers a high-energy environment working on diverse projects ranging from geospatial analyses of coastal changes, to identifying and evaluating habitat health, to estimating water column attributes.The GIS / Remote Sensing Scientist hired for this position will apply geospatial knowledge to plan and design research to support policy and programs that address environmental problems. Qualified candidates must have demonstrated experience and expertise in remote sensing data, geospatial analyses, and application of spatial analyses to environmental issues in Florida and the southeastern US. Additional competency is desired in one or more areas including water quality, environmental compliance, coastal management, habitat and species monitoring, resiliency and adaptation planning, shoreline restoration and monitoring, and/or environmental protection policies and programs. In this role, the qualified candidate will have the opportunity to further develop project management skills, interact with clients, and work on exciting small and large-scale project designs. The ideal candidate has a minimum of 5 years of professional experience in environmental remote sensing applications, solid technical writing skills, a willingness to step into project management, and is a great communicator and collaborator.Interested applicants, please submit a cover letter and resume addressed to Dr. Leesa Souto, Operations Manager, Applied Ecology, Inc. Responsibilities <ul><li>Develops and leads remote sensing research projects, including identifying, downloading, and manipulating remote sensing data, organizing data files appropriately, integrating data into ArcGIS for analyses, using and developing indices for interpretation, implementing appropriate analytical methods, and succinctly writing results that resonate with receiving audiences.</li><li>Provides leadership to the geospatial services team, including training GIS staff on remote sensing applications.</li><li>Develops and clearly depicts geospatial analyses and workflows, ensuring work products can be easily interpreted and recreated.</li><li>Effectively organizes, writes, and edits technical reports, user guides, peer review summaries, data collection memos, and other technical documents. Writes analytical methods and technical documents so they are understandable to lay readers and accurately represent processes and results.</li><li>Plans, implements, documents, and accurately records data collected using an Unmanned Aerial System (UAS, aka. drone).</li><li>Utilizes remote sensing data collected via drone (UAS), aerial, and satellite to evaluate water conditions and flows, estimate ChlA in water, and classify vegetative communities.</li><li>Interprets remote sensing data to evaluate water, vegetation, and habitat conditions, identify submerged aquatic vegetation, and apply other novel approaches to interpret remote sensing data using custom or known algorithms like the NDVI, NDCI, NDWI, etc.</li><li>Conducts remote sensing field data collection safely, documented accurately, and in compliance with applicable protocols and standard operating procedures.</li><li>Develops appropriate field validation monitoring to calibrate remote sensing estimates.</li><li>Oversees the calibration, maintenance, and inventory of specialized geospatial equipment like high resolution GPS equipment (RTK), UAS equipment (drones), and sensors.</li><li>Coordinates multidisciplinary research teams to design research and field sampling methods to solve real-world environmental problems.</li><li>Supports Sr. Project Managers by assisting with scopes of work and estimated costs, coordinating teams, and tracking tasks and budgets.</li><li>Assists with business development opportunities and written products, including proposal technical approaches, company capability statements, and project descriptions.</li><li>Presents at public workshops and community forums as needed to gather input on policy recommendations, restoration activities, adaptation planning and other activities.</li><li>Works on multiple projects and tasks simultaneously and tracks time to stay within budget and timeline.</li><li>Effectively communicates with clients, regulatory agencies, subcontractors, and the public.</li></ul> Minimum Requirements <ul><li>Bachelor's degree from a regionally or nationally accredited institution in Geography, GIS, Remote Sensing, Environmental Science, Engineering, Geology, Natural Resources or similar with Masters degree preferred.</li><li>5 years of progressive experience in environmental / ecological remote sensing applications.</li><li>3 years of experience in spatial / non-spatial data analysis and/or technical reporting.</li><li>A valid Florida Driver's license is required, and a clean driving record must be maintained.</li><li>Must be able to pass drug testing and a background check.</li><li>Ability to work on DOD contracts (US citizenship required).</li><li>UAV Remote Pilot Certification (or ability to get certified within 6 months).</li></ul> Preferred Qualifications <ul><li>3 years of UAV experience (data acquisition, processing, and scope development)</li><li>LiDAR processing experience</li><li>Experience in satellite data, including ESA sensors, data processing and applications</li><li>GIS Professional Certificate (GISP) or ASPRS certifications</li><li>Graduate degree in related fields</li><li>GIS and/or Remote Sensing experience in water resource management, ecological applications, and resilience/vulnerability assessments</li><li>Experience in python scripting in the GIS framework</li><li>Public sector project experience (state, local, and federal government)</li><li>Prior project management experience, including developing scopes and budgets, managing workflows, and completing quality review of deliverables</li><li>Training or supervisory experience</li><li>Experience presenting data and final products to technical peers and/or clients</li></ul> Knowledge, Skills, and Abilities (KSAs) <ul><li>Expertise with spatial data management, large dataset QA/QC, spatial analysis technologies, process design and modeling, server and web GIS technologies</li><li>Excellent technical writing and communication skills</li><li>In-depth understanding of remote sensing techniques and available sensors associated with multiple platforms.</li><li>Possesses effective analytical, critical thinking skills.</li><li>Is highly motivated to learn and contribute to the growing Geospatial Services Line.</li><li>Proficiency using the Microsoft Office suite with expertise using Excel, PowerPoint, Word, and familiarity with Access.</li><li>Able to work in the field in various weather conditions, lift heavy equipment (30 pounds), and stand, bend, twist, and walk for 8 hours a day.</li><li>Able to organize and prioritize time to execute multiple projects effectively.</li><li>Able to peer review and quality assure final data products created by the geospatial team</li><li>Detail-oriented and takes pride in delivering high quality work</li><li>Exhibits professional, courteous demeanor</li></ul>Applied Ecology, Inc. is an Equal Opportunity Employer. Our firm is committed through responsible management policies to recruit, hire, promote, train, transfer, compensate, and administer all other personnel actions without regard to race, color, ethnicity, national origin, age, religion, disability, marital status, gender, sexual orientation, gender identity or expression, genetic information, status as a protected veteran and any other factor prohibited under applicable federal, state, and local civil rights laws, rules, and regulations.

GIS / Remote Sensing Scientist - FL

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>

Senior Data Scientist (Geospatial AI)

Seero Engineering Consulting

About Us: Seero Engineering Consulting is a leading multidisciplinary firm in Qatar, providing innovative solutions in engineering, architecture, environmental, and infrastructure projects. We are committed to excellence, sustainability, and the integration of advanced technology in every project we deliver.Position Overview: We are seeking a skilled GIS Specialist to join our dynamic team. The ideal candidate will be responsible for developing, managing, and analyzing geospatial data to support various engineering and planning projects. This role requires strong technical proficiency in GIS applications, data management, and spatial analysis.Key Responsibilities:<ul><li>Develop, manage, and maintain GIS databases, shapefiles, and spatial datasets.</li><li>Perform spatial analysis and mapping to support engineering and infrastructure projects.</li><li>Integrate GIS data with CAD and other engineering platforms.</li><li>Produce high-quality maps, reports, and visualizations for project presentations.</li><li>Ensure data accuracy, consistency, and compliance with project standards.</li><li>Collaborate with engineers, planners, and project managers to deliver GIS solutions.</li><li>Support field data collection and integration using GPS and mobile GIS tools.</li></ul>Qualifications &amp; Requirements:<ul><li>Bachelor&rsquo;s degree in Geography, Geomatics, GIS, Environmental Science, or related field.</li><li>Minimum of 3&ndash;5 years of professional experience in GIS within engineering or infrastructure projects.</li><li>Proficiency in ArcGIS, QGIS, AutoCAD, and related spatial analysis tools.</li><li>Strong understanding of coordinate systems, projections, and data formats.</li><li>Experience in GIS database management and geoprocessing automation (Python or ModelBuilder is a plus).</li><li>Excellent communication and teamwork skills.</li><li>UPDA/MMUP certification will be an advantage.</li><li>Candidates must be based in Qatar with a valid work visa or transferable sponsorship.</li></ul>Why Join Seero?<ul><li>Work with a team of passionate professionals on diverse, high-impact projects.</li><li>Opportunities for professional growth and career development.</li><li>Collaborative and innovative work environment.</li></ul>Job Type: Full-time

GIS Specialist

<div>
 
 Overview
 
 
 
 Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&amp;D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world&rsquo;s biggest challenges.
 
 
 Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning.
 
 
 As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop tools, APIs and pretrained models for geospatial AI
 </li>
 <li>
 Integrate ArcGIS with popular deep learning libraries such as PyTorch
 </li>
 <li>
 Fine-tune large language models (LLMs) for geospatial AI tasks and develop AI agents and assistants
 </li>
 <li>
 Develop APIs and model architectures for natural language processing and deep learning on unstructured text
 </li>
 <li>
 Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries
 </li>
 <li>
 Curate and pre/post-process data for deep learning models and transform it into geospatial information
 </li>
 <li>
 Perform comparative studies of various deep learning model architectures
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2 to 6 years of experience with Python, in data science and deep learning
 </li>
 <li>
 Self-learner with coursework in and extensive knowledge of machine learning and deep learning
 </li>
 <li>
 Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas
 </li>
 <li>
 Expertise in one or more of these areas:
 </li>
 <ul>
 <li>
 Experience with transformer-based models
 </li>
 <li>
 Large language models and experience building applications using them
 </li>
 <li>
 Experience of working on NLP based tasks such as recommender system, summarization, and more
 </li>
 </ul>
 <li>
 Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries
 </li>
 <li>
 Experience with hyperparameter-tuning and training models to a high level of accuracy
 </li>
 <li>
 Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges
 </li>
 <li>
 Existing work authorization for India
 
 </li>
 </ul>
 
 Recommended Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with ArcGIS suite of products and concepts of GIS
 </li>
 <li>
 Familiarity and experience using langchain/AutoGPT/BabyAGI
 
 
 </li>
 </ul>
 
 About Esri
 
 
 
 At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life&rsquo;s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri&rsquo;s Racial Equity and Social Justice initiatives, please visit our website here.
 
 
 
 If you don&rsquo;t meet all of the preferred qualifications for this position, we encourage you to still apply!
 
 
 
 Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
 
 
 Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
 
 
 Requisition ID: 2025-2398
 
 
</div>

Data Scientist - Natural Language Processing

Universities Space Research Association

<div>We are seeking a motivated Associate Data Scientist for our Geospatial AI team. The role will support research and operational applications of AI for water resources monitoring, and potentially other use cases for remote sensing data of Earth including critical mineral identification, hydrologic monitoring, and environmental change detection. This work requires expertise in remote sensing, data analytics, and earth system processes to derive actionable insights from satellite and airborne observations, while advancing remote sensing capabilities to support water security and U.S. energy independence. Multi-level experience in multispectral and hyperspectral data, synthetic aperture radar data, as well as lidar data is needed to integrate remote sensing products with hydrologic and land surface models. This will improve prediction and assessment of water quality and availability, and support large-scale geospatial data analyses using cloud-based platforms. The role will involve collaboration with the U.S. Geological Survey (USGS), and may also involve support for the development of proposals for new collaborations involving other government organizations,, academia and industry, as part of joint public-private initiatives aimed at addressing key national challenges.
Essential Duties/Responsibilities:<ul><li>
Satisfy USRA's non-profit mission by making a distinctive impact through scientific and technical accomplishments in the assigned projects.<ul><li>
Train, test and evaluate geospatial machine learning models that utilize satellite data for water resource use cases, using distributing computing approaches, including models for the following:</li><li>
estimation of optically active water quality constituents such as chlorophyll, turbidity, and dissolved organic matter, from Sentinel-2 aquatic reflectance data.</li><li>
detection of historical algal blooms at a global scale, including phycocyanin data retrieval from Sentinel-2 instrumentation.</li><li>
Co-author research papers for leading scientific journals and present findings at relevant scientific conferences.</li><li>
Engage academic, industrial, and government research communities in collaborative research through activities such as seminars and other talks, workshops, and conferences.</li><li>
Act as a mentor for student interns involved in machine learning research as needed.</li><li>
Maintain an awareness of funding opportunities, and support and/or lead proposal activities as approved.</li></ul></li><li>
Act safely, ethically and in compliance with all laws and regulations and USRA policies and procedures including:<ul><li>
Ensure the protection of intellectual property including submitting new technology disclosures and supporting patent applications.</li><li>
Ensure export control compliance related to ITAR/EAR regulations.</li><li>
Ensure compliance with all policies such as for timesheets and travel.</li><li>
Complete all compliance trainings as scheduled.</li></ul></li></ul> 
Additional Responsibilities<ul><li>
Model USRA&rsquo;s core values: Discovery, Innovation and Service</li><li>
Complete ongoing learning and development staying abreast of the state-of-the-art</li><li>
Other job duties as assigned.</li></ul>
Required Qualifications 

 
Education:<ul><li>
A Master&rsquo;s Degree or higher in Geological/Geophysical Engineering, Remote Sensing, Geography, or a related discipline is required. PhD strongly preferred.</li></ul>
Experience:<ul><li>
Minimum 2 years hands-on experience developing and testing data driven biophysical and geophysical models using satellite datasets such as Landsat, MODIS, and Sentinel-1/2/3, including training, testing and evaluating machine learning models with satellite data applied to water resources.</li><li>
Experience co-authoring papers and presentations for academic audiences with a record of peer reviewed publications or contributions to operational remotely sensed hydrologic data products.</li><li>
Familiarity with federal agency remote sensing data standards and workflows, knowledge of data assimilation or model coupling techniques, and experience using cloud-based aquatic reflectance datasets is a plus.</li></ul>
Knowledge, Skills and Abilities:<ul><li>
Strong programming proficiency in Python and extensive experience with core data science tools including PyTorch Lightning, NumPy, XArray, Pandas, Scikit-learn, Lightning, Kubernetes &amp; Git.</li><li>
Solid theoretical understanding of fundamental machine learning and deep learning concepts (e.g., CNNs, RNNs, transformers).</li><li>
Proficiency in geospatial programming and analysis in Python and R; and expert skills with GIS software including ArcGIS and QGIS.</li><li>
Strong understanding of hydrologic processes and their representation in remote sensing and modeling frameworks is essential,</li><li>
Excellent problem-solving skills and the ability to work with complex geospatial datasets.</li><li>
Strong verbal and written communication skills.</li><li>
Ability to prepare scientific publications as co-author with other scientists</li><li>
Excellent written and verbal communication in English is required.</li></ul>
Working Conditions: 
This is a remote work position.</div>

Associate Scientist, Data

ICARDA

Reports to: Senior Climate Scientist and Systems Modeler
 Location: Remote
 
Purpose of the position
 The SURE-RESULTS project, funded by GIZ and implemented by ICARDA, aims to improve food and nutrition security in southern Yemen from December 2024 to November 2026 across Lahij, Aden, Abyan, and Taizz. The project features three integrated components: (1) strengthening the small ruminant dairy value chain for sheep and goats, focusing on vulnerable groups and introducing quick technical innovations; (2) promoting climate-smart, nutrition-sensitive agriculture through soil improvement, water optimization, and diversified cropping systems; and (3) building local capacity by training community members, especially women and marginalized farmers.
 A key activity, Early Warning Early Action (EWEA) activity in this project, uses remote sensing and climate analytics to monitor environmental changes, assess climate risks, and support targeted interventions with site mapping via advanced geospatial methods. The adaptation of ICARDA’s GeoAgro platform provides localized, real-time advisories through a mobile app for farmers and dashboards for extension agents, enabling informed responses to climate challenges and enhancing rural resilience and food security in Yemen. A international consultant is sought for the climate analytics component of EWEA.
 
About ICARDA : 
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR. ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development and capacity development that take into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organization, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia and the Middle East. For more information: www.icarda.org.
 
Main responsibilities : 
This assignment uses multi-temporal remote sensing and climate data to map site suitability for climate-smart interventions, estimate yield gaps for key crops and livestock, and analyze scenarios under different climate, land-use, and socio-economic conditions as part of the GIZ Yemen Project. Outputs will be delivered as interactive GEE dashboards with embeddable URLs for the EWEA portal, along with short progress and technical reports.
 
Requirements: 
Education, Qualifications, and Experience: 
<ul>
<li>Master’s degree or higher in Remote Sensing, Agricultural Science, or a related field.</li>
<li>Demonstrated expertise in AI/ML-based site suitability mapping, data-driven crop modelling, and remote sensing (RS)-based modelling.</li>
<li>Skilled in remote sensing analytics and geospatial data processing using GEE, Python, and related platforms. Experienced in analysing large datasets to identify variability, risks, and trends relevant to agricultural productivity.</li>
<li>Proficient in developing interactive geospatial dashboards, thematic user interfaces, and web-integrated maps.</li>
<li>Strong English communication and reporting abilities for both technical and non-technical audiences</li>
</ul>
Benefits: 
Terms of appointment, salary, and benefits : 
The successful candidate will be offered a 6-month temporary contract on a full-time basis.
 The Incumbent will be provided with an honorarium based on the project deliverables.
 
Please be advised that ICARDA accepts applications only in English, as per the organization's standard communication language. Applications in other languages will not be considered.
 Only shortlisted candidates will be contacted.

Site Suitability and Crop Modeling Expert

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