Join the BreezoMeter team

BreezoMeter has grown 60% in the last year and is looking forward to another growth spurt.

Our ambitious team is looking for people who are as passionate as we are about helping people breathe cleaner air around the world. Whether you are an engineer, scientist or developer, an expert in design, sales or marketing, and are interested in joining us, drop us a line.

Our mission is provide people with the air quality data they need to make better decisions for their health.

Come join us in empowering people to breath better.

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​Chief​ ​Scientist – Israel

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BreezoMeter is looking for Chief Scientist

Is your health, and that of others, important to you? BreezoMeter is looking for a creative air pollution chief scientist with a passion for leading the research of getting the most accurate data around the world. Come join a multidisciplinary group of exceptional people, striving daily towards improving the lives of millions around the world.

Your insights can make a difference.

What You Will Do

As a BreezoMeter algorithm chief scientist, you will lead the research of air pollution dispersion and modeling, you will explore for new layers to add, all aiming to improve our data accuracy. You will explore new frontiers and get the satisfaction of seeing millions of people using your work. You will have the chance to speak with users’ representatives and get hands-on insights of your algorithms. You will help decision-makers make more informed choices, and help improve the lives of people all around the globe.

We’re Looking For a chief scientist

  • Passionate about air quality
  • Highly self-motivated with the ability to work on multiple initiatives
  • Can convey complex messages simply
  • Creative minded
  • Gifted individual who knows what they’re doing
  • Broad vision
  • Ph.D. from a leading university (postdoc is an advantage)
  • Very good knowledge and experience in air pollution science
  • Ability to effectively communicate complex ideas and processes to customers
  • Experience with air pollution models
  • Knowledge of Python or a similar language
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Jan. 22-24

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