Project Manager – Geospatial Data Scientist

Masae Analytics is a consulting and data science firm. We cover topics as diverse as climate change and agriculture, humanitarian response, evaluation of development programmes, post-conflict damage assessments, rural connectivity, community understanding, social responsibility and financial inclusion.

To address our clients’ needs, we leverage a wide array of technologies and approaches such as geospatial analysis, remote sensing, natural language processing, machine learning and data science. Our team brings together engineers, remote sensing and AI specialists, field practitioners and strategists, all united by a passion for real-world impact.

Together with our sister company Altai Consulting (see www.altaiconsulting.com), we work for governments, international organisations, foundations and development actors (the United Nations, the World Bank, the Gates Foundation, etc.), and corporate in emerging and in post-conflict countries.

We are currently recruiting a Project Manager – Geospatial Data Scientist to lead projects from design to delivery, and to develop innovative geospatial and data science approaches. The ideal candidate is eager to take on new challenges and to discover new cultures and environments.

We offer long term (indefinite, French “CDI”) employment.

For further information please visit our website: www.masae-analytics.com

Job description

Key aspects of the Project Manager – Geospatial Data Scientist mission will be to:

- Manage projects from start to end:

o Interact with clients throughout projects and their delivery

o Design and implement innovative data science approaches

o Produce analytical reports and presentations

- Contribute to the development of Masae’s toolbox and processes

- Keep track of technology developments and new applications

- Maintain a general knowledge in our areas of interest (remote sensing and applications to climate monitoring, land use changes detection, existing open-data sources in our geographies of interest, etc.)

Requirements

General requirements:

- University degree in data science / geospatial analytics

- 3 to 6 years of professional experience in data science

- Ability to write and present clearly to non-technical audiences

- Flexibility, attention to details and strong work ethics

- Genuine curiosity: you follow recent papers and tools in geospatial and AI, and enjoy trying them out on real problems

- Eagerness to travel and to discover new culture

- Interest in international development and in humanitarian issues

- Very good English skills

Technical requirements:

- Solid Python skills, data science environments (Jupyter, pandas/NumPy, scikit-learn), and the usual geospatial stack (geopandas, rasterio/xarray, GDAL, QGIS)

- Hands-on experience with satellite imagery or geospatial analysis

- Knowledge of unix shell (OS X / Linux)

- Good working knowledge of Git and Docker

Nice to have:

- Knowledge of SQL and of its open-source implementations (Postgres, MySQL, SQLite)

- Experience building LLM-based workflows or agents

- Experience in deep learning for imagery analysis

- Knowledge of geographic analysis tools (PostGIS, QGIS) and of its Python libraries

- Cloud-native geospatial tools (STAC, OpenEO, Google Earth Engine)

We know great candidates come from different paths. If you don’t tick every box but have deep expertise in part of this role, we encourage you to apply.