Global Data Science Team Lead

 

With our changing climate, the sustainability of our planet and primarily our food resources is a problem growing exponentially for all of us. The team at Regrow is on a mission to give farmers and food growers around the world valuable insights to optimize their growing conditions in pursuit of solving crop failures and food shortages. How are we going to take on this audacious challenge? With science and a vision to solve how a land mass behaves to cool the earth. We’re currently monitoring 155 million acres of land in over 45 countries, so we’re on our way to a more sustainable planet. With this, we have a beautiful group of customer fans who are industry leaders and we’re looking for a Global Data Science Team Lead to be the technical leader in creating cutting edge remote sensing-based products for our agribusiness customers . Check us out on TEDx and TechCrunch for a preview of what we can do for our customers.

This is a unique opportunity at a company on a path to huge growth and success. It’s not every day you can join a company and meaningfully contribute to a better future of our planet and humanity. You’ll be applying your skills to accelerate the digital agriculture revolution on a global basis! Won’t this be a fun story to tell someday?!

In this key role, you will have an opportunity to:

  • Support and coordinate the planning, design, and execution of all project deliverables across multiple simultaneous work streams in support of programs reliant on remote sensing and data science
  • Help align and coordinate the work of Global Data Science and Remote Sensing science team to develop and implement algorithms that will help improve detection of crop and soil management practices, and drive the mechanistic models like APSIM and DNDC nationally and internationally
  • Coordinate work effort between all dependent groups (including external research partners), teams, and tasks in relation to remote sensing programs
  • Manage product-related remote sensing and data analysis requests, and other support tasks to ensure timely execution of activities through solution acceptance by internal and external stakeholders
  • Execute planning, status and ad-hoc meetings for remote sensing team as required; keep project documentation for all initiatives and track and communicate risks and issues and execute mitigating steps, as necessary
  • Provide advice and recommendations on the following: the effective use of available resources, enhanced control of the scope of work, recommendations regarding various architectural solutions across modeling tools, and product delivery methods suitable for  each project or program, optimal project scheduling options, enhanced modeling outcomes (accuracy, uncertainty)
  • Analyze data and user needs to determine functional and cross-functional requirements
  • Provides management oversight across multiple simultaneous projects or project tracts within remote sensing program.
  • Lead the Remote sensing team with the goal to research, develop and implement the algorithms to
    • detect and map field boundaries, crop types, rotations and agricultural practices (planting, harvest)
       
    • monitoring crop development and crop performance, including identifying crop growth stages
    • tracking crop stress and detecting areas where the yield damage is likely to occur early in season
    • provide mechanistic crop models (APSIM, and DNDC) with required input parameters based on crop and soil remote sensing
  • Lead the research into multi-sensor remote sensing methods for consistent decision support and product availability globally
  • Oversee and as required, analyze large remotely sensed, geospatial datasets for agriculture and rangeland applications to produce reports that address customers' needs; automate the reporting that is being requested multiple times
  • Work closely with engineering and provide scalable inputs to parametrize the environmental, mechanistic models to scale internationally
  • Liaise with selected customers on the topics related to crop and soil remote sensing
  • Assist with the development of case studies and reports by providing insight into agricultural interpretation of remote sensing products

To be successful in this role, we will expect:

  • M.Sc. or Ph.D Degree in remote sensing, environmental science, natural resources, computer science, or related fields
  • Strong experience with remote sensing of crops in the context of agricultural applications, preferably international
  • Strong team leadership experience and capabilities to manage the team with a variety of backgrounds, including software engineers, scientists and business teams
  • Desire to be in equal parts manager and contributor
  • The ability to translate your technical knowledge into insights accessible for our team and our customers
  • Excellent programming skills in Python
  • Extensive data analysis experience

In addition, we would appreciate:

  • Experience with Linux/Unix, cloud computing
  • Experience with open-source geospatial libraries, e.g. GDAL, OGR, Fiona, Shapely
  • Experience and interest in agriculture, geography, process-based modeling
  • Experience developing applications independently, as well as in a team
  • Experience with software and product development life cycle
  • Strong focus and desire to understand and meet customer needs, adjusting the models to meet the real world requirements

And if you have these, you will thrive at Regrow:

  • Passion about delivering value to customers and solving messy real-world problems
  • The ability to organize yourself and others in an unstructured environment
  • Preference to operating in an open/honest work environment
  • A love of learning
  • A desire to have a positive impact on something greater than you can achieve alone, being a part of the team, which is changing the world

Does this sound like your dream job? If so, go ahead and apply for the position and we’ll be in touch. We appreciate your interest in Regrow.

While it may go without saying once you see the diversity on our current team, we encourage diversity on our team at all levels of the company. We are committed to fostering a diverse, inclusive environment and to encourage these values in everyone on our team. We provide an environment of mutual respect where opportunities are available without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion for people from all walks of life is key to our success as a company.

 

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