Data Scientist
Confirmed live in the last 24 hours

51-200 employees

AI and ML technology for sustainable agriculture
Company Overview, an Alphabet company, is a leading player in the intersection of agriculture and technology, utilizing artificial intelligence and machine learning to enhance food productivity and sustainability. Their unique approach to understanding plant physiology and discovering resilient crops has made them a preferred partner for influential companies and research institutes in the agriculture industry. With a mission to transform food production and mitigate climate change, offers a collaborative and purpose-driven work environment, making it an attractive place for those seeking to make a significant impact on global food systems.
AI & Machine Learning
Data & Analytics
Food & Agriculture
Growth & Insights

6 month growth


1 year growth


2 year growth

Experience Level
Desired Skills
Apache Spark
Computer Vision
Data Science
Apache Beam
AI & Machine Learning
Data & Analytics
  • BSc in Data Science / Statistics / Math or equivalent experience
  • 6+ years of professional agriculture experience
  • Deep understanding & experience working with statistical & machine learning models, in connection with perception models and computer vision in an agricultural setting
  • Proficiency in supervised & unsupervised machine learning methods within Python, notebooks, & SQL for working with & interrogating large collections of labeled images
  • Strong written and verbal presentation skills
  • Demonstrated ability to self-manage, take initiative, problem-solve, and navigate through ambiguity
  • Curiosity, humility and eagerness to learn
  • Masters Degree in agronomy, weed science, food engineering, or data science
  • Experience with Databricks / Spark, or Apache Beam
  • Experience with farming and agricultural equipment
  • Experience in a startup environment
  • Startup experience, or equivalent experience on early stage software teams
  • Work closely with software engineers & data engineers to ensure our models perform to the highest standard when deployed to real world production environments
  • Work with cross-functional internal / external stakeholders including MLOps, Engineering and Product to support a broad spectrum of agronomy experiments
  • Develop an ambitious yet practical roadmap for evaluating the qualities of models that underpin breakthrough technologies in agriculture
  • Design and coordinate tests of model performance - from in-field tests, exploratory unsupervised evaluations, as well as whole of system reviews of performance
  • “Roll up your sleeves” and get stuff done as a member of our core Science team