Data Scientist/ML engineer

Tel Aviv



About Sternum

Sternum is on a mission to make every “limited” device into autonomous and smart. We are building the infrastructure of every smart device around us, from medical devices to routes to railway systems. We do that by breaking the boundaries of what is possible within the embedded/IoT edge device limits and bringing self-protection and instrumentation-based data visibility and analytics to any device, from any sector, at any stage of the product lifecycle.

Building a product that enterprises and security leaders NEED and developers LOVE, is what makes working at Sternum a unique mission that is shaping our future connected world.

We are backed by the world’s most valued and innovative investors known for their world-shaping investments, a team of truly passionate, diversified, and talented people, and a patented, ground-breaking technology that is already deployed on mission critical devices.  

If you love technology, are not afraid of breaking boundaries and building exceptional products that change industries, want to make a true impact and love to be a part of an extraordinary team – come join us!

Apply at


  • Shape a scalable cloud platform that will allow visibility and security of millions of mission-critical IoT devices all over the globe
  • You will work on highly complicated challenges, from research to production, and help build and shape our algorithms and ML platform. You will be working with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
  • You should have a strong background and experience with machine learning pipelines going through: business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring and maintenance.

Primary Responsibilities:

  • Design, implement and deploy ML/DL algorithms 
  • Apply quantitative analysis and an insightful presentation of data to see beyond the numbers and understand how our users interact with our growth products
  • Automate data collection procedures, and pre-processing of structured and unstructured data
  • Analyse large amounts of data to discover trends and patterns
  • Apply data mining techniques, perform statistical analysis, and build high-quality prediction modelling
  • Meet the business vision and strategy in accordance with the product innovation backlog
  • Collaborate with the product, engineering, and UX/UI teams to deliver usable and informative analytical interfaces


  • MSc in Computer Science/Statistics/Engineering or related field with a focus on applied statistics, AI, machine learning, or related fields
  • 4+ years of production environment experience, working with predictive and probabilistic models, clustering algorithms, anomalies detection, classification models, search and recommendation techniques
  • Python expert! Strong knowledge of Python, SQL, and NoSQL
  • Excellent understanding of machine learning techniques and algorithms and methodology
  • Experience with common data science toolkits, such as Pandas, Scikit-learn, Tensorflow, FeatureTools and more
  • High-level applied statistics skills, such as distributions, statistical testing, etc
  • Experience in data mining and insight drawing from large data sets
  • Data-oriented personality, analytical mind, and problem-solving aptitude
  • Team player with excellent communication and presentation skills to tech / non-tech people alike
  • Fluent in English, both written and verbal


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