Taranis is a leading AgTech company, specializing in precision agriculture intelligence, using sophisticated computer vision, data science, and AI-deep learning algorithms to effectively monitor fields. Taranis offers an end-to-end solution for high precision aerial surveillance imagery to increase crop yield and prevent its loss due to insects, crop disease, weeds, and nutrient deficiencies.

Overseeing millions of acres of farmland in North America, South America, Europe, CIS, and Oceania, Taranis targets high-volume commodity crops which account for 70% of the global crop market and give farmers the tools to address issues in real-time, increasing yields and cutting costs.

Founded in 2015, Taranis raised over $100M from leading VC investors and is being led by a founding team with deep experience in both agriculture and technology.

Taranis is currently looking for an experienced Ag Data Analyst to play a key role in our Ag Group while working with cross-functional teams to analyze and interpret agronomic data, drive actionable insights, and support the development of cutting-edge solutions that enhance agricultural outcomes.

• Serve as an Agronomy knowledge center, identifying diseases, nutrient deficiencies, weed species, chemical, and insect damage across various crops.
• Act as the Agronomy focal point, collaborating with key stakeholders, including Customer Success, Product, and R&D teams in Israel, the US, and Brazil.
• Provide instructions and guidance to annotation teams to ensure accurate and high-quality data labeling.
• Monitor and ensure alignment with quality KPIs, maintaining high standards in agronomy-related processes.

• Experience: Up to 2 years in a relevant role, such as Agronomist, Agronomy Analyst, or Remote Sensing Agronomist.
• Education: B.Sc. in Agriculture (M.Sc. is an advantage).
• Technical Skills: Proficient in working with information systems.
• Experience with SQL and basic Python - an advantage
• Communication: Excellent written and verbal communication skills in English (Portuguese is an advantage).
• Training Experience: Proven ability to train teams (military training experience is considered).
• Analytical Skills: Strong analytical abilities to interpret and act on agronomic data effectively.