Arva Intelligence brings farmers the power of machine learning inside the farm gate to significantly improve economics and soil health. Our machine learning engine guides seed, fertilizer, and biological companies to develop better products faster and delivers proof of efficacy, increased yield, managed risk, and quantified sustainability.

Arva Intelligence

Research Scientist

Arva Intelligence seeks Research Associate for carbon intensity assessment in agriculture.

• The Research Associate will be responsible for carbon intensity estimation of bioenergy feedstocks and farm-to-gate food crops in agriculture. 
• Conduct comprehensive carbon intensity assessments of agricultural products. 
• Develop and implement carbon intensity assessment tools for bioenergy feedstocks. 
• Analyze and interpret data related to carbon emissions, carbon intensity, and carbon footprint. 
• Ensure compliance with tax incentives, environmental policies, and greenhouse gas reporting standards. 
• Stay up to date on tax incentives, environmental policies, and greenhouse gas reporting standards related to agriculture and biofuel production. 
• Work closely with various departments to ensure the appropriate methodologies are applied, results are interpreted correctly, and guidelines are followed. 
• Prepare and present reports on carbon intensity analysis.

Research Associate

Data Analyst

Analyze agricultural data using machine learning to enhance farming efficiencies.

• Collect and analyze field reports to identify patterns, trends, and insights
• Collaborate with team members to identify key areas for analysis and reporting improvement
• Develop and maintain data management systems that ensure data accuracy and completeness
• Interpret data to provide actionable insights for decision-making
• Create reports, presentations, and visualizations that effectively communicate findings to stakeholders
• Collaborate with project teams to provide data-driven insights that inform project planning and implementation
• Participate in team meetings and training sessions to stay up-to-date on project progress, priorities, and changes
• Continuously monitor and improve data quality, accuracy, and completeness
• Utilize data analysis software, statistical analysis tools, and other technologies to effectively analyze and report data

Arva Intelligence Jobs in New York City