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about breezometer

We’re on the lookout for passionate, curious, and creative people who are super excited to contribute to a global mission, and receive a community of inspiration and celebration in return. BreezoMeter puts a focus on the right culture and celebrates its employees. Whether you are an engineer, scientist or developer, an expert in design, sales or marketing, we want to cultivate your talent with you.

Algorithms Engineer (Pollen)

Israel

BreezoMeter is looking for an Algorithms Engineer to work on our cutting edge Pollen models and algorithms, that improve the health of millions of people around the world every day. In this position you’ll be working with exceptional people in a multidisciplinary R&D team to create algorithmic solutions to some of the most challenging and influential problems in the company.

we are looking for people who are

  • Curious and enthusiastic to learn new things
  • Independent in their approach and learning
  • Researchers at heart, with strong mathematical and computational intuitions
  • Team players
  • Thoughtful, positive and proactive
  • Flexible and with a “can-do” attitude

responsibilities

  • Develop new Pollen models and algorithms
  • Examine the performance and accuracy of existing models and algorithms, and be part of the efforts for their constant improvement
  • Locate, examine, validate and integrate new sources of data
  • Work with various stakeholders in the company to deliver the best value to our customer

requirements

  • 3+ years of industry and/or academic experience in developing scientific, statistical or physical algorithms and models
  • Bachelor’s degree (M.Sc. or higher preferred) in Physics, Earth/Atmospheric Sciences, Biology, Bioinformatics or similar disciplines
  • Very strong analytical skills, ability to analyze and tackle complex algorithmic and modeling problems
  • Experience in modeling complex physical phenomena using various mathematical approaches
  • Experience in working with Python and strong overall technical skills
  • Experience with data analysis techniques, using standard tools from the Data Science domain (e.g. SQL, Pandas)
  • Great communication skills (written and verbal), with ability to clearly present complex scientific and algorithmic concepts

bonus points

  • Scientific background in plant biology and pollination processes - big advantage!
  • Familiarity with Machine Learning models and techniques
  • Familiarity with Geographical Information Systems (GIS) and geographical data

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