Xovis AG

You love data science and want to put it into prac...

Job description

80-100%, Zurich or Zollikofen near Bern

At Xovis, we develop the leading platform for managing people flow. Our multidisciplinary engineering teams embrace cutting-edge AI, Cloud and IoT technology to build high-precision sensors that integrate with our growing SaaS portfolio. Our tech covers many use cases – from predictive analytics to enabling sales partner.

Whether choosing the best lane at the airport security checkpoint or knowing when it is okay to go into a store that has protective measures against COVID-19, you have almost certainly experienced the benefits of our people flow solutions. Perhaps without even knowing we exist – until now, of course.

Currently counting 130 passionate Xovisionaries that are mostly based in Zollikofen near Bern, we have just opened our new Zurich office, with you – and all our product development teams – in mind. We are set in BizDevOps mode and are supported by an environment of agile and new-work principles.

We are seeking an ambitious and purpose-driven Data Scientist/ML Engineer to bring our growing portfolio of analytics services – queue detection, passenger forecasting, or in-store analytics – to the next level, together with a passionate team of fellow data scientists and software engineers. If you are excited about our vision of rethinking people flow and can contribute experience with building and running Cloud-native analytics software at scale, Xovis is the place to be!

Your responsibilities include:

  • Design, prototype and test state-of-the-art algorithms for in-store analytics, passenger forecasting, and queue detection
  • Implement, optimize, and maintain these algorithms in close collaboration with software engineers
  • Exchange and collaborate with Product Management and customers to understand and identify analytics requirements
  • Identify new data science trends in the context of people flow analytics, e.g., by collecting data and running pilots
  • Fostering our culture of customer centricity, open feedback, and relentless improvement while being part of a friendly group of diverse people that like to have fun on the job

What you bring to the table:

  • University degree in engineering, mathematics, or physics (MSc or PhD)
  • Excellent knowledge of statistics and machine learning (e.g., clustering, time-series analysis)
  • Several years of experience in mathematical modeling and data analysis
  • Good command of a programming language suitable for scientific computing (e.g., Python, Julia, C++)
  • Interest in cloud computing and state-of-the-art software engineering
  • Motivation to work in a multidisciplinary setting with a strong team spirit

What we offer:

  • Strong empowerment of individuals and teams, lots of pioneering spirit, and a flat hierarchy
  • Clear vision and strategy as well as a wide range of exciting challenges along the way
  • Highly motivated and supportive team with open knowledge sharing culture
  • Use of state-of-the-art development tools and methods
  • Time and space for innovation and personal development
  • Periodic social events, flexible working hours (40 per week), home office


Beatrice von Arx
Human Resources
+41 32 508 35 78

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