Geospatial Data Scientist (m/w/d)

Empresa : Osapiens

Descripción del trabajo - Geospatial Data Scientist (m/w/d)

We’re a global SaaS company with customers in 60+ countries. We are pioneers in corporate sustainability. Our dedicated team strives to set global standards that respect human rights while promoting ecological sustainability and responsible entrepreneurship.

We’re driven by a mission: to help companies grow with corporate sustainability. Within osapiens, we focus on three main offerings: Business Partner Transparency, Product Transparency and Operations Efficiency.

We are creating a new department focused on geospatial analytics in our offices in Munich. This team is specialized in cutting-edge analytics for satellite data developing large-scale machine learning pipelines run on distributed systems.

Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability. At the core of our product is the proprietary deforestation detection algorithm which monitors thousands of farms every day. We are looking for experts in Geospatial Data Science / Remote Sensing Researchers.

On your typical day, you will -

Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics
Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing
Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems
Analyze, interpret, and monitor performance from production data analytics pipelines
Translate customer requests and complex regulatory requirements into a algorithmic, data-driven solution
Shape the product and technology roadmap considering your experience in data science and satellite technology

Projects you might take over are

Use masked autoencoder techniques based to enhance generalization and data efficiency
Improve change detection in time-series image data using supervised and unsupervised Machine Learning methods
Fuse multiple satellite modalities such as SAR, optical, and LIDAR in a streamlined data pipeline to enable near-real-time monitoring

2+ years of relevant industry experience or a PhD in the field of remote sensing, computer vision, and satellite technology - with an advanced technical and quantitative degree in engineering, mathematics, computer science or similar
Advanced programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems
Familiarity in working with remote sensing data (SAR, LIDAR, optical) - you developed satellite data analytics use-cases and you are familiar with its possibilities and limitations
Proven practical experience (e.g., prior jobs, academia, or open-source projects) in developing quantitative methods and production-level code
Collaborative software development in a dynamic, hypothesis driven environment
Fluent in English, German is a plus

A purpose-driven mission tackling complex sustainability challenges whilst working alongside global industry pioneers
Room for creativity through collaborative teamwork and an open communication culture
Flexibility and team bonding with our hybrid work options
Fuel for your growth journey, both personally and professionally
Sustainable mobility options, promoting eco-friendly commuting solutions
Fun team events and outings with our global teams

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Geospatial Data Scientist (m/w/d)

Descripción del trabajo - Geospatial Data Scientist (m/w/d)

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