Sr. Data Scientist at Esri

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Science, Deep Learning, Machine Learning, Statistical Concepts, Computer Vision, Geospatial Datasets, APIs, Remote Sensing, AI Models, Technical Documentation, Transformers, Foundation Models, Satellite Imagery, GIS, Research

Industry

Software Development

Description

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. 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 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 Develop deep learning-based models, tools and APIs for computer vision applied to geospatial datasets Perform comparative studies and benchmarking of various computer vision models, including foundation models for remote sensing and earth observation Acquire, curate, and pre/post-process data, and transform it into geospatial information for the training of deep learning models Develop novel training pipelines and model architectures to handle complex challenges in the remote sensing domain Create and fine-tune deep learning models, including large language models (LLMs) and large vision models, for geospatial AI tasks Write technical documentation and reports detailing project methodologies and results Develop AI agents and assistants for GIS tasks Requirements 3+ years of experience with Python in data science and deep learning Self-learner with coursework in and extensive knowledge of machine learning and deep learning Solid grasp of statistical concepts such as hypothesis testing, regression analysis, and Bayesian statistics Expertise in one or both of these areas: Finetuning transformer-based models for specific tasks Training open source / proprietary foundation models from scratch PhD in computer science, artificial intelligence, or related disciplines from IITs and other top-tier engineering colleges Demonstrated ability to conduct independent research, design experiments, analyze results, and publish findings in peer-reviewed journals Existing work authorization for Australia Recommended Qualifications Experience applying deep learning to satellite or medical imagery or geospatial datasets Experience working with and building AI solutions for different remote sensing data such as Sentinel, Landsat, MODIS, NAIP and MAXAR #LI-PK1 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.

Responsibilities

Develop deep learning-based models, tools, and APIs for computer vision applied to geospatial datasets. Create and fine-tune deep learning models for geospatial AI tasks.