Senior Data Scientist (Geospatial) - Remote Sensing / Python / GeoPandas (Remote)

Senior Data Scientist (Geospatial) - Remote Sensing / Python / GeoPandas (Remote)

Overview

My client seeks a skilled Senior Data Scientist (Geospatial) to spearhead the development of impactful environmental solutions. This key individual contributor role within their Engineering team will lead the creation and implementation of scalable geospatial solutions. You will directly inform critical business strategies and field operations, shaping the company’s geospatial data infrastructure and modeling capabilities. This Senior Data Scientist (Geospatial) position offers significant autonomy and the chance to make a tangible global impact. The client is located in San Francisco, CA, but fully remote working is on offer.

Why Join?

Join a mission-driven company pioneering environmental solutions. As a Senior Data Scientist (Geospatial), you will work at the cutting edge of research and technology, collaborating with leading experts. The client is offering:

• Competitive salary ($160k-$200K base) bonus.
• Comprehensive benefits (medical, dental, vision, 401k with company match).
• Significant and direct impact on a critical global challenge.
• High autonomy to shape the geospatial strategy.
• Collaborative, fast-paced environment focused on outcomes.
• Work with national-scale datasets and spatial technologies.
• Contribute to technical infrastructure and modeling efforts.

The Company

My client is a well-funded, ambitious organization transforming a powerful natural process into a scalable global solution. Originating from a leading academic environment and guided by renowned experts, they operate at the intersection of industry, academia, and government. Their innovative approach has garnered significant investment and recognition.

The Role

As a Senior Data Scientist (Geospatial), your responsibilities include:

• Developing scalable spatial statistical measurement designs for field teams.
• Designing advanced geospatial models for prediction and forecasting of environmental outcomes.
• Architecting and managing spatial data storage for efficient retrieval of large datasets.
• Conducting research into cutting-edge spatial sampling techniques.
• Collaborating with engineering teams on infrastructure and model deployment.

Essential Requirements

• Experience in agriculture, natural resources, environmental science, or remote sensing.
• Familiarity with environmental and remote sensing datasets.
• 5 years in geospatial data science, spatial statistics, or applied machine learning.
• Deep proficiency in managing geographic data using RDBMS (e.g., PostGIS) and Python libraries (e.g., GeoPandas).
• Proven experience with spatial datasets and large-scale data processing.
• Solid understanding of spatial statistics and sampling methodologies.

If you are interested in this Senior Data Scientist (Geospatial) role, please apply with your resume through this site.

DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.

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