{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/arvaintelligence/jobs/5272315008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4494877008,"location":{"name":"Houston, Texas"},"metadata":null,"id":5272315008,"updated_at":"2026-06-22T11:51:11-04:00","requisition_id":"64","title":"Business Development Leader - Biofuels","company_name":"Arva Intelligence","first_published":"2026-06-22T11:51:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Title:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; Business Development Leader\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Department\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;Sales and Marketing\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reports to\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;Managing Director, BioFuels\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; Houston, TX (Hybrid / Partial Remote)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Base Salary Range:\u0026lt;/strong\u0026gt;\u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;$\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;185K – 215K plus bonus plus equity\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;General Position Description\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva Intelligence is a leading sustainability technology platform helping agricultural producers, corporations, and biofuel companies measure, verify, and monetize environmental outcomes. Through advanced ecosystem modeling, carbon accounting, and MRV capabilities, Arva enables customers to unlock value from regenerative agriculture, carbon markets, and emerging clean fuel incentives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As demand for low-carbon feedstocks and clean fuel incentives accelerates, Arva is expanding its commercial leadership to maximize the value its biofuel, agricultural, and channel partners capture across the Section 45Z Clean Fuel Production Credit, state low-carbon fuel programs, renewable energy credits (RECs), and emerging environmental attribute markets both inside and outside the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva is seeking a Business Development Manager in Biofuels to lead the commercial strategy, optimization, and monetization of environmental attributes across its biofuels ecosystem. This individual will be the strategic architect responsible for ensuring that biofuel plants, farmers, and channel partners maximize every available revenue avenue, protecting and growing profit margins across federal tax credits, state programs, RECs, and international clean fuel markets. The role combines deep market acumen with carbon intensity (CI) expertise to position Arva’s partners for maximum value placement within the 45Z value tranches and adjacent environmental attribute programs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role will work cross-functionally with Science, Product, Engineering, Commercial, and Customer Success teams, and will serve as the primary commercial liaison to biofuel plant operators, agricultural producers, and channel partners, helping all parties translate agricultural and operational data into maximized environmental attribute value and durable margin.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Primary Job Responsibilities\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Environmental Attribute \u0026amp;amp; Market Leadership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Monitor and interpret developments across the Section 45Z Clean Fuel Production Credit, state low-carbon fuel standards (e.g., California LCFS), RFS/RIN markets, RECs, and international clean fuel programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate regulatory and market shifts into actionable commercial strategies that protect and grow partner margins.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted commercial advisor to biofuel plant operators, ethanol and renewable diesel producers, SAF producers, key strategic farmers, and channel partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Margin Optimization \u0026amp;amp; Commercial Execution\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own profit-margin outcomes for biofuel plants, farmers, and channel partners by ensuring every available environmental attribute and revenue avenue is identified and maximized.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate biofuel-plant-side value levers, including renewable energy credits (RECs) and CAPEX improvements, both existing and coming online, to optimize carbon intensity and credit value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structure and execute transactions that monetize environmental attributes with biofuel producers, corporate buyers, and other market participants.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position partner volumes across domestic and international markets as programs are legislated in and out, capturing the highest-value placement wherever it exists.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Carbon Intensity \u0026amp;amp; CI Score Optimization\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Actively monitor and manage carbon intensity (CI) scores for partner biofuel plants, identifying actionable pathways for score reduction through upstream agricultural practices and plant-level improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop strategies that ensure partner plants achieve maximum value placement under the 45Z tax credit tiers and comparable program tranches based on optimized CI scores.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with Arva’s data science and MMRV teams to ensure CI scores and environmental attributes are rigorously quantified, verified, audit-ready, and defensible.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategic Guidance \u0026amp;amp; Partner Enablement\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Act as a valuable, trusted partner to biofuel plants, farmers, and channel partners, using market and technical knowledge to guide their strategic decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise partners on CAPEX investment decisions and operational changes that improve CI scores and unlock incremental credit value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product and Engineering teams to translate market needs into platform capabilities and reporting tools that scale across Arva’s book of business.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Industry Engagement\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Represent Arva at industry conferences, trade associations, plant visits, customer events, and regulatory forums (travel required).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with key stakeholders across agriculture, energy, sustainability, and government sectors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute thought leadership around environmental markets, carbon intensity, regenerative agriculture, and low-carbon fuels.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Required\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in origination, environmental markets, biofuels, renewable energy, or a closely related commercial role, including time at a director or senior level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of commodity markets, supply chain economics, risk management, and the economics of environmental attribute and tax credit programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of carbon intensity (CI) scoring and the physical production of ethanol, renewable diesel, sustainable aviation fuel (SAF), or related biofuels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to build trust with external stakeholders and negotiate and close complex commercial agreements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-starter able to operate independently in a fast-paced, high-growth environment, with willingness to travel (35%+) to plants, partners, and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience with 45Z, LCFS, RFS/RINs, RECs, GREET, or international clean fuel programs (e.g., FuelEU Maritime, ISCC).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with American row crops (corn, soybeans), regenerative agriculture, and ethanol co-product economics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with MMRV systems, carbon accounting, or evaluating plant CAPEX projects for emissions and credit impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced degree in Agronomy, Environmental Science, Agricultural Economics, Engineering, Sustainability, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience or knowledgable in commodities trading would be plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Success Metrics\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Profit margins met and maintained across partner biofuel plants, farmers, and channel partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Incremental value captured through optimized CI scores, tranche placement, RECs, and CAPEX-driven improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expansion of Arva’s book of environmental attribute value across domestic and international markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Successful structuring and execution of environmental attribute transactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribution to customer retention and revenue growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhancing relationships with channel partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Arva\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to help shape one of the most important emerging markets in agriculture, energy, and sustainability. The successful candidate will play a central role in building the infrastructure that connects regenerative agriculture with the future of low-carbon fuels and environmental markets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Employment Eligibility\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;About Arva Intelligence\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva\u0026#39;s platform was built to apply our novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for producers. Our platform helps our customers and partners capitalize on \u0026quot;natural regenerative practices\u0026quot; by providing recommendations that improve environmental and ecological ecosystems. Platform features include practice verification and registration, as well as the sale of environmental asset credits to our corporate buyers. Thus, Arva is helping to keep the planet green by providing a \u0026quot;green-tech\u0026quot; platform that informs, measures, validates, predicts, and registers carbon exchange opportunities, allowing growers and ranchers to produce and sell credits that are bought by our corporate partners, who endorse sustainable food supply and carbon neutrality.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This job description reflects the core duties of the role but is not intended to be all-inclusive. The role may evolve as the company grows, requiring additional responsibilities or changes in scope.\u0026lt;/p\u0026gt;","departments":[{"id":4033764008,"name":"Marketing","child_ids":[],"parent_id":4033763008}],"offices":[{"id":4060672008,"name":"Hybrid - Berkeley","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/arvaintelligence/jobs/5265566008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4489653008,"location":{"name":"Houston, Texas"},"metadata":null,"id":5265566008,"updated_at":"2026-06-22T13:31:10-04:00","requisition_id":"61","title":"Data Engineer ","company_name":"Arva Intelligence","first_published":"2026-06-17T14:27:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Title:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;Data Engineer\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Department\u0026lt;/strong\u0026gt;:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;Modeling \u0026amp;amp; Analytics\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reports to\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; Lead Modeling Scientist\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;Remote\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Base Salary Range:\u0026lt;/strong\u0026gt; \u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;$95k - $130k\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;General Position Description\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva’s ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Primary Job Responsibilities\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Pipeline and Workflow Development\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Cloud Infrastructure and Data Systems\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data storage solutions using relational, spatial, and object-based databases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Quality, Governance, and Auditability\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement validation and monitoring processes to ensure reliability of model inputs and outputs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support transparent, repeatable workflows suitable for regulatory and credit market review\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Software Engineering and Collaboration\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Write clean, modular, and well-documented production code that supports maintainable and scalable data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply software engineering best practices including testing, version control, and documentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Key Competencies / Requirements\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with cloud platforms, with AWS strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with containerization tools such as Docker and version control systems such as GitHub\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with relational and spatial databases, including PostgreSQL and PostGIS\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with geospatial data formats and spatial data processing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting scientific or ecosystem modeling workflows preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with workflow orchestration tools such as Airflow or Prefect preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4033774008,"name":"Research and Innovation","child_ids":[],"parent_id":4033770008}],"offices":[{"id":4029447008,"name":"Remote","location":"Houston, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/arvaintelligence/jobs/5272287008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4494865008,"location":{"name":"Houston, Texas"},"metadata":null,"id":5272287008,"updated_at":"2026-06-22T11:51:44-04:00","requisition_id":"63","title":"Markets Analyst - Biofuels","company_name":"Arva Intelligence","first_published":"2026-06-22T11:51:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Markets Analyst - Biofuels\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Arva Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Department: \u0026lt;/strong\u0026gt;Sales and Marketing\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reports To:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Business Develop Manager - Biofuels\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Houston, TX (Hybrid / Partial Remote)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Base Salary:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp; $\u0026lt;/span\u0026gt;85K – 110K plus bonus\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Arva Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva Intelligence is a leading sustainability technology platform helping agricultural producers, corporations, and biofuel companies measure, verify, and monetize environmental outcomes. Through advanced ecosystem modeling, carbon accounting, and MMRV capabilities, Arva enables customers to unlock value from regenerative agriculture, environmental attribute markets, and emerging clean fuel incentives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As demand for low-carbon feedstocks accelerates, Arva is expanding its commercial team to help biofuel plants, farmers, and channel partners maximize value across the Section 45Z Clean Fuel Production Credit, state low-carbon fuel programs, renewable energy credits (RECs), and other environmental attribute markets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Position Overview\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva is seeking a Markets Analyst in biofuels to support the operational and analytical needs of its biofuels commercial team. Reporting to the Business Development Manager, this individual will serve as the organizational backbone of the commercial function — managing project timelines, coordinating cross-functional workstreams, and running models and analyses that inform partner and internal decision-making.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is the right role for someone who is highly organized, analytically capable, and energized by working at the intersection of energy markets, environmental policy, and agriculture. You will work closely with the Business Development Manager and collaborate across Sales, Product, Engineering, and Customer Success to keep commercial initiatives on track and ensure the right analysis reaches the right people at the right time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Primary Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Project \u0026amp;amp; Workstream Management\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own project management for commercial initiatives — tracking deliverables, deadlines, and action items across internal teams and external partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain visibility into the full commercial pipeline, flagging risks and keeping the Business Development Manager focused on high-priority work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate cross-functional inputs from Sales, Product, Customer Success, and Engineering teams to move projects forward efficiently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare agendas, meeting notes, and follow-through documentation for partner and internal meetings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain trackers, templates, and workflows that improve commercial team efficiency as Arva scales.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Analytical Modeling \u0026amp;amp; Market Analysis\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Run and maintain financial and carbon intensity (CI) models that evaluate environmental attribute value, transaction economics, and margin scenarios for biofuel partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Update and stress-test existing models as market conditions, regulatory parameters, or partner data change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor developments across Section 45Z, LCFS, RFS/RINs, RECs, and other clean fuel programs, and synthesize key updates into clear internal briefings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track CI score benchmarks and tranche thresholds across Arva’s partner portfolio, flagging material changes to the Business Development Manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support analysis of biofuel-plant-side value levers, including REC opportunities and CI reduction pathways, as directed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Partner-Facing Support\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prepare partner-facing materials including market updates, program performance summaries, CI score reports, and transaction documentation, under the direction of the Business Development Manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the Business Development Manager in preparing presentations and strategic briefings for biofuel plants, farmers, and channel partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure partner data is complete, accurate, and organized ahead of meetings, reviews, and reporting cycles.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Internal Reporting \u0026amp;amp; Documentation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate records of commercial activities, transaction progress, and partner engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce regular internal reports on portfolio CI performance, market movements, and program economics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to thought leadership and marketing materials related to environmental markets and biofuel programs as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Required\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3–5 years of experience in management consulting, financial analysis, project management, or a related analytical role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong project management skills — able to juggle multiple workstreams, set priorities, and hold timelines without close supervision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid financial and quantitative modeling skills — comfortable running, updating, and interpreting complex models built by others.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear written and verbal communicator, able to distill technical and market information into concise, actionable outputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High attention to detail and a track record of producing accurate, well-organized work product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-starter who works well independently and proactively surfaces issues before they become problems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to carbon intensity (CI) scoring frameworks, including GREET modeling, LCFS, RFS/RINs, or 45Z tax credit mechanics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with biofuel production economics, ethanol supply chains, or American row crops (corn, soybeans).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in management consulting (e.g., Big 4 or restructuring/advisory firms) for biofuel industry with experience running analytical workstreams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with MMRV systems, carbon accounting platforms, or environmental attribute markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Agricultural Economics, Environmental Sales, Engineering, Finance, Sustainability, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Success Metrics\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Commercial initiatives move forward smoothly with clear ownership and visible progress tracking of risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Financial and carbon-intensity models remain accurate, defensible, and current as market conditions evolve.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Business Development Manager and partner-facing teams receive complete, well-organized materials and data support that helps them show up prepared and credible in every external interaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The organization stays informed of material changes across biofuel regulations, clean-fuel incentives, and carbon market mechanics before they impact partner economics or pipeline strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Commercial records, transaction histories, and portfolio performance data are well-organized and easy to retrieve.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Arva\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a rare opportunity to build deep expertise at the intersection of regenerative agriculture, biofuels, and environmental markets — one of the most consequential and fastest-growing areas in energy and sustainability. You will work alongside scientists, engineers, and commercial leaders who are building the infrastructure that connects farming with the future of low-carbon fuels.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva is a mission-driven company. We believe farmers deserve to be paid for their environmental stewardship, and that decarbonizing agricultural supply chains is both necessary and achievable. If that excites you, we’d like to talk.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Employment Eligibility\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Arva Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Arva Intelligence is a machine learning software-based SaaS company with offices in Houston, TX and Park City, UT. Arva’s platform applies novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for producers. Our platform helps customers and partners capitalize on regenerative practices by providing recommendations that improve environmental and ecological outcomes — and by enabling growers and agribusinesses to quantify, verify, and monetize the environmental value they create.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This job description reflects the core duties of the role but is not intended to be all-inclusive. The role may evolve as the company grows, requiring additional responsibilities or changes in scope.\u0026lt;/p\u0026gt;","departments":[{"id":4033764008,"name":"Marketing","child_ids":[],"parent_id":4033763008}],"offices":[{"id":4060672008,"name":"Hybrid - Berkeley","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/arvaintelligence/jobs/5255587008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4489692008,"location":{"name":"Houston, Texas"},"metadata":null,"id":5255587008,"updated_at":"2026-06-17T14:28:19-04:00","requisition_id":"62","title":"Modeling Scientist","company_name":"Arva Intelligence","first_published":"2026-06-17T14:28:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Title:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;Modeling Scientist (Uncertainty Quantification)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Department\u0026lt;/strong\u0026gt;:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;Modeling \u0026amp;amp; Analytics\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reports to\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; Lead Modeling Scientist\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp; \u0026amp;nbsp;Remote\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Base Salary Range\u0026lt;/strong\u0026gt;:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;$100k - $160k base salary\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Modeling Scientist is responsible for improving model traceability, uncertainty quantification, and predictive trustworthiness in Arva’s ecosystem model predictions. This role is central to advancing Arva’s monitoring, reporting, and verification platform for greenhouse gas emission reductions and removals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working at the intersection of statistics, machine learning, and process-based ecosystem modeling, this role works closely with ecosystem modelers and data engineers to design robust model traceability and uncertainty frameworks that support transparent, decision-ready outputs for customers, partners, and environmental markets. The Modeling Scientist plays a critical role in translating scientific rigor into real-world impact through credible, auditable modeling systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Primary Job Responsibilities\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Uncertainty Quantification and Model Evaluation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Generate and apply model traceability framework for ecosystem and biogeochemical models to enable rigorous model testing and improvements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement uncertainty quantification framework for the models, including parameter, structural, aleatory, and epistemic uncertainties\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply sensitivity analysis, multivariate testing, and cross-validation to evaluate model robustness and generalizability across space and time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quantify and communicate model confidence, uncertainty bounds, and performance metrics\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Statistical and Probabilistic Modeling\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop hierarchical and Bayesian approaches to support distributed and iterative model optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply probabilistic methods to integrate data, models, and uncertainty across scenarios\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze model outputs to diagnose limitations and inform model improvement strategies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Machine Learning and Model Integration\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Integrate machine learning techniques with process-based or mechanistic models to improve predictive performance and scalability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with data engineers to implement reproducible, scalable modeling pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design of model evaluation and optimization workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scientific Communication and Documentation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Communicate uncertainty, confidence intervals, and model performance clearly to internal teams and external stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to scientific reports, transparent model documentation, and peer-reviewed publications as appropriate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support defensible, auditable model outputs suitable for regulatory and credit market review\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Key Competencies / Requirements\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years demonstrated experience in uncertainty quantification, probabilistic modeling, and data model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced proficiency in Python and scientific computing, with experience building reproducible modeling pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering practices, including writing modular, testable, and well-documented code\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep commitment to scientific rigor, transparency, and integrity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating machine learning with process-based or mechanistic models preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ecosystem or Earth system models such as DayCent or CESM preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms and data systems, including AWS and relational or spatial databases, preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Master’s or PhD degree or equivalent experience in Statistics, Applied Mathematics, Environmental Science, Earth System Science, Biology, or a related quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Generate and apply a model traceability framework for ecosystem and biogeochemical models to enable rigorous model testing and improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement an uncertainty quantification framework, including parameter, structural, aleatory, and epistemic uncertainties.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply sensitivity analysis, multivariate testing, and cross-validation to evaluate model robustness and generalizability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quantify and communicate model confidence, uncertainty bounds, and performance metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop hierarchical and Bayesian approaches for distributed and iterative model optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply probabilistic methods to integrate data, models, and uncertainty across scenarios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze model outputs to diagnose limitations and inform model improvement strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate machine learning techniques with process-based models to improve predictive performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with data engineers to implement reproducible, scalable modeling pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design of model evaluation and optimization workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate uncertainty, confidence intervals, and model performance clearly to stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to scientific reports, model documentation, and peer-reviewed publications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support defensible, auditable model outputs for regulatory and credit market review.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Employment Eligibility\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Summary:\u0026lt;/strong\u0026gt; The Modeling Scientist is responsible for enhancing model traceability, uncertainty quantification, and predictive trustworthiness within Arva\u0026#39;s ecosystem model predictions. This role is pivotal in advancing Arva’s platform for monitoring, reporting, and verifying greenhouse gas emission reductions and removals. Collaborating at the intersection of statistics, machine learning, and process-based ecosystem modeling, the Modeling Scientist ensures robust model traceability and uncertainty frameworks, delivering transparent, decision-ready outcomes for customers, partners, and environmental markets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033774008,"name":"Research and Innovation","child_ids":[],"parent_id":4033770008}],"offices":[{"id":4029447008,"name":"Remote","location":"Houston, Texas, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":4}}