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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.

Principal Data Scientist


BreezoMeter is looking for a Principal Data Scientist with the creativity, professionalism and passion to lead the development of innovative data driven environmental insights platform, that impacts the lives of millions of users around the world. In this position you’ll be working with exceptional people in a multidisciplinary team of engineers, scientistic and business experts to create inspiring data driven solutions that you can be proud of.

we are looking for people who are

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


  • Own the implementation of the big data ML based solutions end-to-end from proof of concept through to production operation
  • Identify opportunities for leveraging company data to assist building the company ML roadmap
  • Plan and lead innovation, exploration, design, and implementation of ML roadmap
  • Work closely across multiple R&D teams as well as other company stakeholders to influence product strategy and execute delivery of solutions
  • Hands-on development of custom data models and algorithms to apply to data sets using predictive modeling to improve customer experiences and optimize other business outcomes
  • Develop processes and tools to monitor, analyze and improve model performance and accuracy


  • 5+ years of full-time experience in Data Science positions
  • Academic degree (Ph.D./M.Sc. preferred) in Computer Science / Math / Physics / Electrical Engineering or similar area
  • Exceptional at planning, setting expectations, defining goals and meeting commitments
  • Experience in leading data product development from proof of concept, rigorous design and implementation through to production of highly scalable, enterprise-class solutions
  • Hands-on and theoretical background in data mining, advanced statistical analysis and machine learning practices and techniques (clustering, decision tree learning, NN, etc), and their real-world advantages/drawbacks
  • Expert implementation skills in Python, SQL, and popular machine learning frameworks (scikit-learn, TensorFlow, keras, etc)
  • Familiarity with modern ML lifecycle management frameworks (e.g. MLFlow)
  • Proficiency with a variety of big data technologies, databases, data lakes, and data warehouses (preferably in the Google Cloud environment)
  • Experience in deploying machine learning products in live production environments
  • Independent self-starter and team player with excellent communication and interpersonal skills
  • Enjoys working in startups and fast paced environment

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