Machine Learning Scientist
Arva Intelligence
About this role
The Modeling Scientist, Uncertainty Quantification at Arva is responsible for developing and applying statistical, probabilistic, and machine learning methods to quantify confidence in ecosystem model predictions, supporting environmental reporting and verification efforts. The role involves designing uncertainty frameworks, integrating machine learning with process-based models, and communicating scientific findings to stakeholders.
Skills
About Arva Intelligence
arva.comArva is a regenerative agriculture and sustainability company that provides solutions for farmers and food companies to drive measurable impact across supply chains. Their work focuses on supporting resilient, profitable food systems by helping producers adopt regenerative practices and enabling companies to integrate sustainable sourcing. Arva positions itself as a partner across supply chains to scale climate-smart agriculture and improve long‑term farm and supply‑chain resilience. Their website and resources are available in English, Portuguese and Spanish.
Recent company news
The Arkansas Democrat-GazetteRiceland Foods Inc. water program paid farmers $4 million last year
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Feb 6, 2023
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About Arva Intelligence
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Arva Intelligence.
Salary
$100k – $130k
per year
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