Data Scientist

Liberec, Czech Republic or remote

Help us build a SaaS analytics platform serving global companies. Create robust backend services capable of analyzing gigabits of data using cutting edge algorithms. Join a team that's redefining how people perceive Intelligent Automation.

About the job

We regularly receive gigabytes worth of bot logs. Your main goal is to develop and deploy algorithms that will help our clients with:

  • Identifying anomalies in robot behaviour
  • Root cause analysis of detected issues
  • Statistical correlations
  • Process benchmarking

What skills you should have

  • Experience with data science methods such as machine learning as well as classical statistics applied to large real-world data sets
  • Overview of data science tools and methodologies, as well as cloud and solution providers, e.g. Azure and AWS
  • Experience with Python 3. Ideally you are familiar with its scientific stack such as numpy, pandas, scikit learn, matplotlib, etc.
  • Habit to write maintainable clean code that follows best practices in software engineering

Bonus Pointees

  • Knowledge of process mining
  • Ability to optimize machine learning solutions for production and deploy them
  • Experience with software development, especially C# / .NET and MS SQL

Perks and benefits

  • The best work-life balance enabled by flexible working hours, home office and unlimited vacation
  • Company shares for the most loyal employees
  • Team events (such as happy hours, off-sites and retreats)
  • Budget for online courses, books, and conferences

Working at Pointee

At Pointee we share a vision and passion for new technologies. We thrive on innovations and continuous improvement. 

Building a unique technological startup with a global ambition is challenging and rewarding at the same time. We aim to work efficiently and focus on the things that matter. 

Being a startup enables us to ditch most of the bureaucracy and focus on what is important. If everyone has the feeling that something could be done better, it is discussed openly. It also opens a wide range of opportunities to grow and learn. Everyone is given an opportunity to choose their own path. 

We are more than just colleagues. We meet frequently outside of work – whether it's for a drink, organized team building, as climbing buddies or bikepacking through Europe.

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