Data Scientist at Funga PBC

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

130000.0

Posted On

17 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analyses, Experimental Design, Power Analyses, Statistical Models, Prototyping, Model Deployment, Carbon Accounting, Data Integration, SQL, R, Python, Machine Learning, Git, Jupyter, Quarto, Geospatial Analysis

Industry

Environmental Services

Description

Department: Data Science Reports to: Head of Data Science Location: Remote, but we will be strongly weighting applicants who are in or willing to move to Austin Applications will be open through early April with an anticipated start date of April 20, 2026. About Funga Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met - just make sure to tell us why you’re excited about Funga! About the Role We are looking for a Data Scientist/Statistician to support our work analyzing forest productivity, and experimental data. You will collaborate with the team to scale our ability to process and interpret ecological and experimental data, contributing directly to Funga’s mission. We need a pragmatic builder who thrives on turning complex raw data into actionable models. This is a role for someone who balances deep scientific rigor with the urgency and velocity required to accelerate our impact. In This Role, You Will: Perform robust statistical analyses of experimental and observational forest data. Evaluate and enhance current experimental design by performing power analyses and applying statistical models to multi-year trials. Rapidly prototype and deploy models connecting forest productivity to soil microbiomes and environmental factors, accounting for spatial and temporal dependencies. Enhance our carbon accounting system to incorporate incoming field-collected, genomic, and remotely sensed data. Build and validate pipelines for assessing the effectiveness of satellite and drone datasets for capturing on-the-ground measurements. Work closely with internal stakeholders on Growth, Applied Science, and other teams to ensure that insights meet their needs and accelerate their work. Travel up to 10-15% of the time for team offsite events, data collection, and stakeholder meetings as needed. Our Ideal Candidate Will Have: An MS or Ph.D. in a quantitative field (Statistics, Applied Mathematics, or equivalent experience). Demonstrated expertise in hierarchical/mixed-effects models, longitudinal data analysis, repeated measures methods, and spatio-temporal modeling. You know how to handle the autocorrelation and nesting inherent in experimental ecological data. High proficiency in SQL, R, and Python for data manipulation and modeling. Practical experience applying machine learning techniques to biological, environmental, or similarly complex systems. Familiarity with data integration, version control (Git), and reproducible research workflows (e.g. Markdown, Jupyter, Quarto). Pragmatism balanced with rigor. You prioritize rigorous, actionable insights over academic perfection. You know when a simple linear model is better than a deep learning model. A passion for biodiversity, ecosystem health, and climate action. Background in forest ecology, soil microbial ecology, or experimental design for field trials is a major plus. Experience with geospatial and remote sensing data analysis is a plus. NOTE - please apply if you feel you are qualified, but don’t necessarily meet all of the above criteria! Why Join Funga? Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges - climate change. Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability. Career growth: Be part of a pioneering company with opportunities for professional development and leadership. Participate in comprehensive healthcare benefits and employee equity programs. Salary and Benefits The expected salary range for this role is $90,000 - $130,000 USD, with actual salary based on qualifications and experience. Relocation may be considered for qualified applicants seeking to move to Austin. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!v

Responsibilities

The role involves performing robust statistical analyses on experimental and observational forest data, evaluating experimental design, and rapidly prototyping models connecting forest productivity to soil microbiomes and environmental factors. Responsibilities also include enhancing the carbon accounting system and building pipelines for assessing remote sensing data effectiveness.