.We are looking for a Data Scientist to join our Tech Team based in Cape Town. About Aerobotics Our mission is to provide intelligent tools to feed the world. We provide tree and fruit insights to growers, in 18 countries around the world, enabled by drone imagery and artificial intelligence. We have analysed over 300 million trees and 50 million fruit to date. Our team of 50+ people is based out of Cape Town, but havecommercial offices in the USA, Portugal, Chile and Australia. Everything that we do and every decision that is made is driven by ourCore Values. About the role This is an exciting opportunity to add significant value in a fast-paced and dynamic scale-up environment. You will be contributing to the development and scaling of our fruit sizing and fruit insights products. Your work will directly impact how farmers measure and estimate their yield by analyzing mobile-collected imagery of fruit on trees through advanced computer vision models. Your role will involve creating robust data pipelines, developing machine learning models, and ensuring the accuracy of our data-driven insights. As a data scientist, you will be responsible for making sure your code is production-ready and work with the team to deploy your models into our production systems. Responsibilities Our mission at Aerobotics is to help farmers grow as efficiently and sustainably as possible. The Data Science team contributes to this by designing and building data-driven tools that help farmers make critical operational and agricultural decisions to maximize their yield. As a data scientist joining the team, you will be responsible for: Developing Production Systems: Develop well-structured, performant and production-ready applications. Machine Learning: Implement and optimize models for fruit sizing and fruit insights. Collaboration: Work with product managers, engineers, and agronomists. Develop and execute the technical strategy with the Head of AI, Head of Software, and CTO. Technical Communication: Create written documentation on design decisions. Project Management: Keep track of ongoing work and clearly communicate the trade-offs between addressing technical debt and maintaining speed. Leadership: Manage collaborative tasks and foster a culture of learning and improvement. Technical Growth: Contribute to the company's overall technical growth. Cultural values You are humble and treat everyone with respect You are able to give and receive constructive feedback You are passionate about building world class products that add real value to our clients You are strive to continuously learn new skills and share your learnings with the people you work with You take pride in the work that you do and hold yourself to a high standard Qualifications 3+ experience in developing and deploying machine learning models in a production environment. BEng or BSc in Computer Science or similar Degree or equivalent working experience
