Lead Data Engineer Data Scientist (Remote)

We are an esteemed organization committed to the restoration of grasslands and the enhancement of soil carbon storage throughout the United States. Our mission centers around empowering ranchers to adopt regenerative land management practices that not only improve soil health and foster biodiversity but also combat climate change by sequestering carbon dioxide from the atmosphere. Our successful partnerships with over 125 producers across 1.2 million acres in 20 states exemplify our dedication to this cause.

As the Lead Data Scientist/Data Engineer, you will be integral in architecting, developing, and overseeing the data infrastructure that bolsters the measurement and verification of soil carbon removal credits. You will collaborate closely with agronomists, land managers, and software engineers to produce data-driven insights that inform our strategic data initiatives.

Key Responsibilities

• Develop and execute a robust data strategy in alignment with our mission.
• Design, implement, and maintain scalable data architectures, pipelines, and databases for extensive quantification of soil carbon removals.
• Oversee the collection, integration, and validation of data from diverse sources, ensuring accuracy and reliability.
• Spearhead the development of data-driven Measurement, Reporting, and Verification (MRV) solutions to monitor and report on land management practices.
• Drive the creation and deployment of advanced analytics and predictive algorithms to enhance measurement capabilities.
• Collaborate with cross-functional teams to integrate data solutions effectively into our carbon management platform.
• Generate and maintain dashboards, reports, and visualizations that provide actionable insights to both internal and external stakeholders.
• Stay abreast of the latest advancements in data science, identifying opportunities for continuous improvement and innovation.

Required Skills

• Proficient in programming languages such as Python, R, or Java.
• Experience with data warehousing, ETL processes, and database management (e.g., SQL, NoSQL).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies.
• Strong expertise in statistical analysis, machine learning, and predictive modeling.
• Knowledge of GIS, remote sensing, and environmental data is advantageous.
• Excellent communication and collaboration skills, capable of conveying complex data concepts to non-technical stakeholders.

Qualifications

• 8+ years of experience in data science, data engineering, or a related discipline.
• Bachelor’s or Master’s degree in Data Science, Data Engineering, Computer Science, Environmental Science, or a related field; a PhD is a plus.
• Experience in developing MRV systems for carbon projects is a significant advantage.
• Previous startup experience is preferred, but an understanding of working in a high-growth environment is essential.

Career Growth Opportunities

Our organization offers significant opportunities for professional development. By joining our dedicated team, you will gain exposure to innovative practices and advanced technologies within a supportive environment that encourages learning and growth.

Company Culture And Values

We pride ourselves on a workplace founded on scientific rigor, quality, and transparency. Our commitment to diversity and inclusion is paramount, as we believe that varying experiences and perspectives contribute to a better environment for our employees and the communities we serve.

Networking And Professional Opportunities

Working with us provides a platform to connect with leading organizations and industry professionals, fostering an environment ripe for collaboration and networking.

Compensation And Benefits

• Competitive salary based on experience.
• Opportunity to earn equity and performance bonuses.
• Comprehensive 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 annually.
• Participation in our 401(k) savings plan.
• Company-paid life and AD&D coverage.
• Support for continuing education opportunities.

Employment Type: Full-Time