Data Scientist/Environmental Scientist (80-100%)

Über den Job

About TERRA Modeling Services

TERRA Modeling Services is an innovative agritech startup founded in 2023, at the forefront of climate intelligence and remote sensing solutions. We empower agricultural insurance companies, international reinsurers, and other businesses exposed to weather-related risks with advanced data analytics and predictive modeling capabilities.

We transform complex climate and remote sensing data into actionable intelligence, enabling our clients to navigate weather uncertainty with confidence and make informed, data-driven business decisions.

About the Role

We are seeking a skilled Climate and Remote Sensing Data Scientist to join our Analytics and Software Development team. In this role, you will work at the intersection of climate science and data engineering, developing solutions that help our clients understand and respond to climate challenges. You'll collaborate closely with cross-functional teams to translate complex climate data into actionable intelligence.

What You'll Do

• Build cutting-edge applications: Design and develop interactive web applications and dashboards using Python (Streamlit, Dash), R Shiny, and JavaScript frameworks that transform complex climate data into intuitive, client-ready tools
• Drive data quality and innovation: Conduct rigorous statistical analyses to evaluate, validate, and integrate new climate and remote sensing datasets, ensuring our platform delivers reliable, actionable insights
• Shape industry through leadership: Create compelling showcase studies, and technical publications that demonstrate the real-world impact of our solutions and establish TERRA as a leader in agricultural risk analytics
• Bridge technology and business needs: Partner with agronomists, product managers, and client success teams to translate complex business requirements into scalable, user-focused technical solutions
• Expand our market presence: Represent TERRA at industry conferences, trade shows, and client meetings, presenting our solutions with clarity and confidence to drive business growth and forge strategic partnerships

Requirements

• Master's degree or PhD in natural sciences (agricultural sciences, environmental sciences, biology), engineering, or computer science.
• 1-2 years of industry experience in agriculture, agritech, or related fields. Crop insurance or reinsurance experience is a significant advantage.
• Strong proficiency in scientific data analysis with Python or R for data analysis
• Track record in developing interactive web applications and dashboards
• Quick learner, self-motivated and autonomous with ability to thrive in fast-paced startup environments with evolving requirements
• Excellent communication skills for collaborating with diverse technical and non-technical stakeholders
• Fluent English (required) any other language skills (German, French and Spanish) are welcomed
• Must have valid work permit for Switzerland

What We Offer

• Thrive in a fast-growing startup environment where your contributions shape our trajectory. As a fully bootstrapped company with 100% organic growth, we maintain complete independence - no external investors dictating our strategy, just a clear vision and the freedom to innovate.
• Join a multidisciplinary team of experts in climate science, agronomy, and data analytics who are passionate about solving complex problems together.
• Grow your skills through challenging projects, exposure to cutting-edge technologies, and opportunities to represent TERRA at industry events and conferences.

Contract Details

• Location: Schlieren (until 31 Dec 2025) and Stettbach (as of 1 Jan 2026)
• Commitment: 80-100%
• Compensation: Competitive fixed salary with a substantial variable component tied directly to company performance - aligning your success with TERRA's growth and giving you a true stake in our future

How to Apply

Please submit your resume along with a cover letter highlighting your relevant experience with climate data analysis and spatial dataset processing. Include examples of projects where you've worked with large-scale environmental datasets or interactive web dashboards.