Senior Geospatial Data Scientist İş İlanı

Senior Geospatial Data Scientist Location: Istanbul (hybrid) Reporting to: Head of Data Science About Doktar Headquartered in the Netherlands and operating globally, Doktar develops data-driven technologies that enable climate-smart and sustainable agriculture. Our technologies, digital platforms, and sustainability advisory services help farmers, corporations, and governments improve productivity while protecting the planet. The Opportunity In this role, you will contribute to basin-scale water stress assessments, climate-risk analytics, groundwater and evapotranspiration analysis, and geospatial modelling workflows using satellite and climate datasets. You’ll work on real-world environmental challenges by combining remote sensing, hydrology, geospatial analytics, and data science methodologies to support scalable and scientifically grounded decision-making systems. This role is ideal for candidates who enjoy transforming complex earth observation datasets into interpretable and actionable insights. What You’ll Do Develop and maintain remote sensing workflows for water, climate, and agricultural analytics. Work with satellite datasets such as Sentinel, Landsat, MODIS, GRACE, ERA5, and CHIRPS. Support basin-scale analysis including evapotranspiration, water balance, drought, groundwater, and crop-water-stress assessments. Process and analyze raster and vector geospatial datasets using Python and geospatial tools. Build reproducible geospatial processing pipelines and automate analysis workflows. Within the Data Science team, work across AI/ML, geospatial, and sustainability initiatives to convert environmental signals into practical insights for field operations and sustainability programs. Support interpretation, visualization, and technical reporting of environmental and hydro-climatic analyses. Contribute to methodology development for satellite-driven sustainability and water-risk assessments. What We’re Looking For 5–7 years of experience in geospatial data science, remote sensing, Earth observation analytics, or GeoAI, ideally with exposure to agriculture, water, climate, or environmental applications. Strong hands-on Python skills, with experience using scientific and geospatial libraries for data processing, analysis, and modelling. Experience with Python-based geospatial and Earth observation workflows, including tools such as GeoPandas, Rasterio, Xarray/Rioxarray, GDAL, Google Earth Engine, and QGIS. Solid understanding of raster and vector data processing, spatial analysis, map algebra, geospatial data pipelines, and reproducible analytical workflows. Familiarity with satellite and climate datasets such as Sentinel, Landsat, MODIS, GRACE, ERA5, CHIRPS, or similar open Earth observation datasets. Understanding of statistics, time-series analysis, and spatial modelling, with the ability to translate complex environmental datasets into meaningful insights. Knowledge of environmental systems, hydrology, water balance, evapotranspiration, drought, groundwater, or climate-risk analytics is highly preferred. Ability to communicate technical findings clearly through visualizations, technical reports, methodology notes, and stakeholder-facing explanations. Familiarity with cloud platforms, Docker, PostGIS, or scalable data processing environments is a plus. Strong analytical thinking, scientific curiosity, and ownership mindset, with the ability to work on complex, real-world environmental problems in a collaborative Data Science team. What We Offer An interesting and highly responsible role in a young and interdisciplinary team. State-of-the-art technical facilities (software and communication tools). Professional development opportunities. Performance-bonus system. Company share options.