Job Description
We are a leading company dedicated to restoring grasslands and enhancing soil carbon storage across the United States. Our mission is to empower ranchers to implement regenerative land management practices that not only improve soil health and promote biodiversity but also combat climate change by sequestering carbon dioxide from the atmosphere. We have successfully partnered with over 125 producers across 1.2 million acres in 20 states, implementing practices that restore grasslands, improve wildlife habitats, and promote healthy soils. By collaborating with us, ranchers gain access to additional revenue opportunities through our carbon credit program.
Currently, more than 41% of U.S. grasslands are utilized for grazing, covering over 350 million acres. However, less than 5% of this land is managed regeneratively, despite its potential to remove at least 500 million metric tons of carbon dioxide annually. We are on a mission to transform millions of acres of degraded grasslands into thriving ecosystems that sequester significant amounts of carbon. We are proud to partner with leading organizations to advance our mission, which is built on scientific rigor, quality, and transparency. We have secured long-term contracts with major companies aiming to reduce their carbon footprint and achieve their sustainability goals.
About the Role:
As the Lead Data Scientist/Data Engineer, you will play a crucial role in designing, building, and managing the data infrastructure that supports the measurement and verification of soil carbon removal credits. Collaborating closely with agronomists, land managers, and software developers, you will develop data-driven insights that guide our data science strategy and roadmap. A key aspect of your role will be to create effective Measurement, Reporting, and Verification (MRV) solutions that ensure the accuracy and transparency of our carbon removal projects. You will also lead efforts to enhance tools for quantifying and predicting soil carbon storage potential using diverse data sets.
Responsibilities:
Data Strategy & Leadership: Develop and execute a comprehensive data strategy aligned with our mission. Provide guidance and leadership to a dedicated team of data science and engineering professionals.
Data Infrastructure: Design, implement, and manage scalable data architectures, pipelines, and databases that support large-scale quantification of soil carbon removals and MRV.
Data Collection & Integration: Oversee the collection, integration, and validation of data from various sources, such as soil sensors, satellite imagery, and third-party databases, ensuring accuracy, consistency, and integrity.
MRV Solutions: Lead the development of data-driven MRV solutions to monitor, verify, and report on land management practices that drive soil carbon removals, ensuring compliance with industry standards.
Advanced Analytics & Modeling: Drive the development and deployment of advanced analytics, machine learning models, and predictive algorithms to enhance carbon measurement and monitoring capabilities.
Collaboration: Work closely with cross-functional teams, including environmental scientists, software engineers, and product managers, to integrate data solutions into our carbon management platform.
Reporting & Visualization: Create and maintain dashboards, reports, and visualizations that provide actionable insights to internal stakeholders and external partners.
Continuous Improvement: Stay updated on the latest trends and technologies in data science, data engineering, and environmental sustainability. Identify opportunities to enhance our data capabilities and drive innovation.
Requirements:
Passion, drive, and a positive outlook, with 8+ years of experience in data science, data engineering, or a related field, demonstrating a strong track record of leadership, innovation, and results.
Bachelor's or Master's degree in Data Science, Data Engineering, Computer Science, Environmental Science, or a related field; a PhD is a plus.
Proficiency in programming languages such as Python, R, or Java.
Experience with data warehousing, ETL processes, and database management (e.g., SQL, NoSQL).
Expertise in cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies.
Strong background in statistical analysis, machine learning, and predictive modeling.
Familiarity with GIS, remote sensing, and environmental data is highly desirable.
Experience in developing MRV systems for carbon projects is a significant advantage.
Excellent communication and collaboration skills, with the ability to convey complex data concepts to non-technical stakeholders.
Passion for contributing to the regenerative movement and a basic understanding of soil carbon storage and regenerative land management practices (this knowledge can be quickly acquired on the job).
Previous startup experience is preferred but not required; an understanding of working in a fast-paced, high-growth environment is essential.
Willingness to work from our office in downtown San Antonio.
Benefits:
Opportunity to earn equity and performance bonuses.
Health insurance plan with no deductible and no co-pay.
Dental and vision insurance plans.
Flexible spending account options.
Open Paid Time Off policy plus 9 paid holidays per year as detailed in our company handbook.
Participation in our 401(k) savings plan.
Company-paid life and AD&D coverage.
Educational materials and expenses support for continuing education opportunities.
Commitment to Diversity:
We are proud to foster a workplace free from discrimination, believing that diversity of experience, perspectives, and backgrounds leads to a better environment for our employees and a better experience for our users and customers. We are an equal opportunity employer and do not discriminate based on protected characteristics. All candidates will receive equal consideration.
Note: Visa sponsorship is not available for this position.
Employment Type: Full-Time
Salary: $ 107,000.00 238,000.00 Per Year
Job Tags
Holiday work, Full time, Remote job, Flexible hours,