Sound Agriculture is an innovator in bio-inspired chemistry and plant genetics. We leverage natural plant diversity to grow crops more sustainably and create differentiated, nutritious food. Sound is a Series C startup funded by leading investors in food and agriculture such as Leaps by Bayer, Northpond Ventures, S2G Ventures, Fall Line Capital, Cultivian Sandbox Ventures, Cavallo Ventures and Syngenta Group Ventures.

We are looking for a Data Scientist who will work with our Product Development, Agronomy, and R&D teams to develop models based on large scale public and proprietary data to bring immediate benefit to growers. Building on Sound’s portfolio of breakthrough technologies, the Data Scientist will deepen the understanding and impact of sustainable agronomic practices to increase how efficiently crops use soil nutrients. The Agronomic Data Scientist role reports to the Director of Data Science and will be based in Emeryville, California headquarters but can work remotely.

Responsibilities

  • Design, develop, and iteratively improve models of crop nutrient use efficiency, grower benefit, and ecological impact
  • Collaborate across R&D to help improve the data practice, infrastructure, and effectiveness of our On Demand Breeding platform
  • Own deployment and improvement of models both internally and externally
  • Coordinate agronomic data acquisition (soil, climate, and crop) to continually improve Sound’s understanding and ability to help growers
  • Work across Sound to refine geospatial data analysis, storage, and modeling systems
  • Perform statistical analysis on experimental outcomes, interpret results, and communicate conclusions and implications across the organization
  • Work with agronomists to help improve placement and thus performance of SOURCE, our flagship nutrient efficiency product

Skills & Experience

  • Passion for making food and agriculture better and more sustainable
  • PhD or MS in Data Science, Statistics, Mathematics, Computer Science, Physics, or related field
  • Knowledge of basic agronomy a plus but not required
  • Minimum 2 – 3 years of experience in applying statistical and machine learning solutions on a scalable platform to real-world applications
  • Fluency in programming languages and methods commonly used for data manipulation and computational statistics
  • Demonstrated competency with multiple regression techniques, multivariate analysis, and mixed models
  • Excellent scientific and statistical rigor
  • Outstanding communication skills and the ability to work with experts at varying levels from different fields

Our Offer 

  • Opportunity to work in an early-stage, disruptive startup with a talented, experienced, and growing team of dedicated individuals
  • Competitive compensation package
  • Performance bonus structure
  • Comprehensive health care plans that include Medical, Dental and Vision coverage
  • Flex Spending Account (Healthcare, Dependent Care & Commuter Benefit)
  • 401k Plan
  • Generous vacation policy
  • Regular team events and engagement activities (we actually like hanging out with each other!)

Sound is based in Emeryville, CA with a number of employees working remotely. We have a mission driven culture and a fast-paced, collaborative work environment. We are looking for someone to join the team who will bring a passion for sustainability along with a deep expertise in the business of food and agriculture.

Equal Employment Opportunity

We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status.

Sound participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the United States. If E‑Verify cannot confirm that you are authorized to work, Sound is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before Sound takes any action, including terminating your employment.