Data Scientist / ML Engineer

Our in-house hardware and software solutions, developed and manufactured in Germany and Switzerland, enable precise people counting, optimize people flow, and ensure data protection. We are committed to the success of our customers and create a sense of safety and comfort for people on the move. Our highly precise 3D stereo vision technology in combination with AI is the foundation for our success. While Xovis consists of 200 crew members worldwide, we have kept our start-up spirit.

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 role:

• 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

Your profile:

• 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:

• Flexible working hours & home office options
• Regular team events like ski weekends, after-work get-togethers
• 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), 25 days holiday

Our Research & Development teams in Bern and Berlin work closely together. You will be part of our dynamic teams driving the development of both Xovis hardware and software, shaping the future of intelligent people flow solutions.

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