Who We Are

We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry!

Founded by globally-recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific and scalable solutions to the agrifood industry.

Our customers are frontrunners in agrifood and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable, and track partners’ progress against sustainability goals. 

We're backed by leading investors, such as Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture.

Our Mission

Agriculture has the power to reverse climate change. We believe science and technology can help us get there. 

Our goal is to use farmland to cool the earth. We are currently monitoring 150 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet.

We are seeking a Data Scientist for Remote Sensing of Grazinglands to join Regrow and apply their expertise in remote sensing science to help us expand our ability to translate data into agronomic insights and customer-facing products.

What You Will Do:

  • Conduct research, evaluation, development, and implementation of remote sensing-related projects with a focus on rangelands and grazed areas.
  • Analyze remote sensing and other spatial datasets, specifically multispectral satellite imagery, weather and soil data, in-field measurements, and farm machinery datasets.
  • Transform raw data into usable datasets: assessing quality, cleansing, and efficiently structuring the data.
  • Develop new and apply known state-of-the-art methods for the analysis of the remote sensing data, developing accurate and scalable algorithms for estimation and prediction of grazingland attributes. .
  • Contribute to the work of the science team (agriculture, remote sensing, data science) on capturing the working-lands science ‘laws’ with remote sensing.
  • Daily collaborate with the engineering and product team to bring science prototypes to production for user testing and validation.
  • Be comfortable with producing a GOOD result quickly and then iterating to get to the GREAT one (you will need to rapidly build MVP algorithms to test your results with customers before developing a full-scale model).

Your Background:

  • Master degree with 3+ years of experience or PhD degree in Remote Sensing, GIS/Geodesy, Computer Science, Agricultural Science, Civil Engineering, or a related field with experience in remote sensing and a good research track record.
  • Strong background in remote sensing and geospatial data, specifically experience with Landsat, Sentinel 2, Sentinel 1, Planet, and/or UAV/drone technique.
  • Demonstrated background in developing statistical, machine learning, and/or simulation models using remote sensing datasets.
  • Proficiency in scientific computing with Python, with the ability to quickly pick up new technical skills.
  • Demonstrated ability to apply remote sensing imagery to large-scale monitoring and/or modeling in agriculture and/or natural ecosystems.
  • Strong problem-solving skills, with the ability to research, develop, and implement solutions to novel problems.
  • Willingness to expand and learn new skill sets as needed.

Desirable Skills: (bonus if you have them)

  • Experience in using deep learning frameworks such as PyTorch, Keras, or TensorFlow.
  • Experience in solving grassland and rangeland-related issues using remote sensing products.
  • Excellent presentation and communication skills – the ability to convey scientific concepts in layman’s terms.

What’s In It For You:

  • Work with an amazing driven team innovating at a refreshing pace.
  • Contribute to making the world more sustainable, do good.
  • Get a chance to join a multi-national award-winning start-up, check us out on TEDx and TechCrunch
  • Feel excited about your job and seize the opportunities for professional growth.
  • Flexible work hours and friendly leave policies to create a healthy life-work balance.

*We value diversity! At Regrow, we know a diverse and inclusive team not only makes our products better but our planet better. We have employees across nine countries and three continents, and we’re committed to expanding our base of knowledge and experience.

Regrow is an equal opportunity employer and all applicants receive consideration for employment. We do not discriminate based on race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.* 

If you like what you read and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you.

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