MSCI is looking for a Remote Sensing Researcher to join our team. You will contribute to the development of geospatial tools and models to expand coverage of physical and natural assets and their attributes. This is a technical role requiring deep expertise in remote sensing, image processing, and strong computational skills.
What You'll Do
- Contribute and co-lead projects as part of the R&D effort of novel approaches to extracting information such as building features and attributes from satellite imagery.
- Design and prototype scalable spatial models and analytics using Python leveraging geospatial libraries and machine learning / deep learning frameworks.
- Develop and evaluate remote sensing models for tasks such as object detection, semantic segmentation, and change detection to derive asset-level features.
- Collaborate with internal stakeholders and work with engineers to deploy models into production.
What We're Looking For
- 5+ years of experience working with remote sensing data including SAR and multispectral data.
- Strong background in computer vision or machine learning using common deep learning frameworks like PyTorch, Tensorflow or Keras.
- Advanced coding skills in Python or R, with familiarity with data science libraries such as pandas, numpy, scipy, scikit-learn, tidyverse.
- Deep expertise in geospatial libraries (GDAL, OGR, rasterio, geopandas, xarray, rioxarray), including datacube-based analysis workflows.
- Strong written and verbal communication skills.
- Master’s or Ph.D. in Geography, Environmental Science, Computer Science, Data Science, or a related discipline.
Nice to Have
- Experience with parallel computing frameworks such as Dask or multiprocessing.
- Hands-on experience in cloud environments (GCP, AWS, or Azure) and cloud-native geospatial workflows.
Technical Stack
- Programming: Python, R
- ML Frameworks: PyTorch, Tensorflow, Keras
- Data Science Libraries: pandas, numpy, scipy, scikit-learn, tidyverse
- Geospatial Libraries: GDAL, OGR, rasterio, geopandas, xarray, rioxarray
- Parallel Computing: Dask, multiprocessing
- Cloud Platforms: GCP, AWS, Azure
Benefits & Compensation
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Global Orientation program, access to Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities.
- Multi-directional career paths offering professional growth and development.
- A culture of high performance and innovation.
- A global network of talented colleagues.
- Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.
Work Mode
This is a global position.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran status, or any other characteristic protected by law.
