Lead Geospatial Data Scientist, Sylvera
Software underpinning carbon markets
Job no longer available
Software underpinning carbon markets
101-200 employees
Job no longer available
101-200 employees
Company mission
To make carbon offsets work for everyone.
Role
Who you are
- Proven experience (4+ years) in geospatial analysis, working with raster and vector data. Experience with machine learning and causal inference ideally applied to environmental impact assessments, or related domains
- Previous experience operating with agile development methodologies
- Strong programming skills in Python with demonstrated experience in developing sophisticated geospatial algorithms. Familiarity with Airflow is a plus
- Experience with building APIs interfaces
- Leadership experience, including managing teams and leading geospatial projects
- Excellent communication skills, with the ability to convey complex geospatial concepts to both technical and non-technical audiences
- An understanding of carbon offset methodologies, emissions accounting, and sustainability principles is a plus
- Cares deeply about the climate and ecosystems of the earth
- Is a self-starter who thrives in constantly evolving environments, ideally with early-stage experience
- We’d like someone highly ambitious, motivated and eager to propel their career forward. - We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description
What the job involves
- Leadership and Vision: Lead a cross-functional team of geospatial data scientists and analysts to provide accurate and insightful evaluations of REDD+ and ARR carbon offset projects. Thriving in driving the vision for innovative approaches, technologies, and tools that enhance the efficiency and effectiveness of geospatial analysis processes, while fostering a culture of continuous learning. Provide mentorship, guidance, and facilitate collaboration within the team
- Geospatial Analysis and Product Design: As a Lead Geospatial Data Scientist you'll be hands-on developing new features or improving existing ones. From requirements gathering, to end-to-end data workflows, as a squad leader you'll oversee the research, design and development of scalable, geospatial data products that leverage advanced geospatial data science techniques, including causal inference methods and machine learning applied to ecology. Specifically, you will be in charge of updating and delivering geospatial statistics to assess REDD+ and ARR projects
- Scalability: we are looking for a candidate who can help us scaling our geospatial analytics solutions by leveraging on orchestration tools, contributing to our internal geospatial libraries, and building APIs interfaces
- Continuous learning and improvement: Stay up-to-date with the latest advancements in geospatial analytics, carbon offset methodologies, and environmental assessment techniques. Continuously innovate to improve the accuracy and depth of our analysis. Help attract talents by promoting sharing knowledge publicly and collaboration with external stakeholders
- Cross-functional collaboration: Working closely with our ML and Ratings teams, you will leverage your expertise to integrate cutting-edge geospatial analysis insights into our broader suite of climate impact evaluation tools
- We’re looking for mission-driven, Lead Geospatial Data Scientist to join our Geospatial Analytics function and bring advanced geospatial analysis techniques at scale and project leadership
- As the Squad Lead / Geospatial Data Scientist within our Geospatial Analytics team, you will play a pivotal role in shaping the future of climate action. You will lead the REDD+ and ARR projects squad efforts to analyze and assess the carbon offset projects using geospatial data and techniques
- Your expertise in geospatial analysis, data science, and leadership will drive our mission of providing reliable carbon offset ratings and trustworthy information to guide investments on impactful climate actions
Salary benchmarks
Our take
Sylvera is scaling carbon markets with software, by developing tools to quantify stocks of carbon stored in vegetation using AI applied to satellite or drone data.
Using current quantification techniques, it is not possible to provide accurate and regular data on the performance of forestry projects, which leads to issues with corruption, fraud and uncertainty. This leads to significant financial and reputational risk for corporates purchasing offsets and makes it hard for high quality forest projects to secure fair prices and low cost finance at large scale.
By providing a quantitative sequestration audit trail and associated risk ratings, Sylvera intends to underpin effective voluntary carbon markets. Its 2023 funding round is being put towards its entrance into the US market and hires across engineering and product.
Steph
Company Specialist at Welcome to the Jungle
Insights
279% employee growth in 12 months
Company
Company benefits
- Unlimited Holiday
- Christmas Shut Down
- Private Medical & Life insurance
- Enhanced maternity/paternity leave
- Monthly Friday lunch budget
- Team social budgets
- One-off WFH allowance
- Enhanced Paid Sick Leave
- Mental Health support
Company HQ
London, UK
Leadership
Allister Furey
(CEO & Co-Founder)Allister is a repeat entrepreneur with a PhD in Machine Learning and an MBA from London Business School. As well as 10 years developing technology in the renewables industry, he has built and operated business units in Asia, Continental Europe and the UK
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