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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.

Atmospheric Chemistry Modeling Expert

Israel

BreezoMeter’s scientific team is looking for an Atmospheric Chemistry Modeling Expert to work on our cutting-edge models and algorithms which are leveraged to improve the health of hundreds of millions of people around the world every day. In this position, you’ll be working with exceptional people in the chief scientist office team, explore groundbreaking innovative directions and develop our next generation of environmental models and health-related insights.

we are looking for people who are

  • Out of the box thinkers
  • Curious and enthusiastic to learn new things
  • Independent in their approach and learning style
  • Team players
  • Thoughtful, positive, and proactive
  • Flexible and with a “can-do” attitude

responsibilities

  • Utilize and implement atmospheric chemistry models
  • Advise a multidisciplinary team of environmental, software and algorithm engineers and data scientists on algorithm development and improvement
  • Be up-to-date with the current science in all our product fields
  • Help to transform environmental data from science to actionable easy-to-use products
  • Work with various stakeholders in the company to deliver the best value to our customer
  • Be in charge of scientific collaboration in the field of expertise

requirements

  • A PhD in Atmospheric Sciences, Meteorology, Geosciences, Physics, Mathematics, Computer Science or a related field
  • Experience with atmospheric chemistry models, specifically in the field of air pollution or pollen
  • 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)
  • Ability to work with large, multidimensional datasets (e.g. netCDF, GRIB, TIFF files)
  • Great communication skills (written and verbal), with ability to clearly present complex scientific and algorithmic concepts
  • Strong multitasking and ability to work under pressure

bonus points

  • Experience with satellite data
  • Experience with urban modelling
  • Experience with fire, dust, or pollen modelling
  • Experience with machine learning techniques

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