Future Methodology Lead

About

Revalue exists to deliver a fundamental stepchange in the quality and integrity of carbon projects. We do this by rethinking projects from the ground up slightly better is not good enough in order to build confidence in the market and deliver impact at a planetary scale. Our world cannot afford anything less. This mission drives us every day.

Revalue Nature has raised $10 million in Series A funding to be the most innovative and trusted developer for nature on the planet. This new investment was coled by Ecosystem Integrity Fund (EIF) and SJF Ventures two leading venture firms focused on climate and impact. Join us on our journey to supercharge the worlds leading naturebased developers reset the bar for quality in the carbon market and protect and regenerate nature at a scale that makes our eyes water.

What we do

Revalue supercharges the worlds leading naturebased carbon projects developers. We provide them with the required technical support and competitive financing to go from the initial rapid assessment of potential project areas to the first carbon credits issuance and beyond. This is underpinned by our proprietary tech which creates a stepchange in accuracy speed automation and level of insights.

Our team

Our global diverse team sits across all time zones and has an exceptional trackrecord of designing and delivering high impact carbon projects globally. We have built longterm partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space. We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life while also focusing on balance outside of work.

Tasks

This person will be responsible for leading experiments to improve future methodologies. Success in having certainty that 1 credit is either avoiding or removing 1 tonne of CO2 from the atmosphere.

What are the key responsibilities of the role

• Analysing and interpreting large complex datasets
• Developing innovative predictive models for unplanned deforestation
• Collaborating with crossfunctional teams to integrate the new methodology

Requirements

What do we expect from you

• Proficiency in data science statistics and the latest machinelearning technologies
• Ability to approach methods from a first principles perspective
• Experience with remote sensing or spatial data
• Motivated by climate solutions

Benefits

What do we offer

• Shared purpose culture and values
• Unbeatable work flexibility and balance (global team remote working)
• A truly diverse team of colleagues partners and clients
• An agile team with unrivalled experience and trackrecord

HOW TO APPLY

We are actively hiring and want to hear from you! Please apply by attaching your resume and answering the following questions in a document:

(a) How does your experience align with the requirements in the job description (12 paragraphs)

(b) Describe your key motivations for working in this sector (1 paragraph)