FluroSat: Data scientist - FT

Sydney, New South Wales, Australia · Data Science expand job description ↓

Description

FluroSat is an award-winning crop-health monitoring start-up. Our vision is to apply modern technologies like satellite and drone imaging combined with proximal (on-the-ground) sensing to help the world sustainably feed and clothe itself. www.flurosat.com

We are looking for a FT/PT candidate or an intern with a strong desire to productise their knowledge of data science and GIS and passion for agriculture and applying her/his skills to real-world problems. The candidate will join our team in Sydney to work with the company leadership, and data science team to achieve the best translation of FluroSat innovation into customer-facing products. Our work environment is flexible.

What you’ll do:

  • Work with the team of data scientists (agriculture, remote sensing, data science) on novel interpretations of nature 'laws' into programming scripts
  • Develop data processing scripts to link results of plant and soil testing to satellite, plane and drone imagery
  • Translate the science of agriculture (equations and classical models) into Python to turn data into decision support algorithms
  • Be comfortable with producing a GOOD result quickly and then iterating to get to the PERFECT one (you will be asked to build MVP algorithms before going into full-scale model development)
  • Work on real-time data in a timely fashion (you will get access to data captured from satellites, planes and drones hours after it was captured! )

Successful applicants must have:

  • Proficient coding and data analysis skills in Python
  • Comfort with modelling and large-scale data analysis
  • Good communication skills and “can do” team player attitude
  • Experience in writing scientific reports and documents in layman's terms
  • Hungriness to learn. Every task will be a new challenge offering something new to master

Desirable skills (bonus if you have them!):

  • Experience with large scale data analysis
  • Experience with Machine Learning libraries
  • Agricultural/ecology science knowledge OR GIS/remote sensing knowledge
  • Leadership qualities, willingness to take ownership of the task

What’s in it for you:

  • Contribute to making world more sustainable, do good
  • Get experience in a multi-national award-winning start-up
    (check out TEDx and TechCrunch)
  • Feel excited about your job and seize the opportunities for professional growth
  • Make use of flexible work hours and the work mode you like
  • Become a part of something huge! Not every day you can join the next unicorn
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