Data scientist

As a Hoxhunt Summer Hunter, you'll help us build software, models and tools that fight hackers and phishers and help keep customer data secure from external attacks. Data scientists at Hoxhunt work with large quantities of data to produce business value through data engineering and data visualization as well as combat the malicious attempts of cyber criminals with machine learning and computational methods.

To achieve these things, you will work closely with a team of data scientists in an agile and horizontal development environment. We don’t expect you to be an expert data scientist yet - our team will help you hone your existing skills and expand your toolkit even further, enabling you to become your best data-talent self. Recruitment is open 10.1.- 25.01.2022, so apply now if you’re ready for a new adventure!

Our ideal candidate is someone who loves to solve complex problems by analysing and predicting with massive amounts of data from the field of cybersecurity. Your work will directly raise awareness against phishing and cyber attacks, and in this way you will help to secure digital societies and build our product to directions where cyber attacks can be prevented better in the future.

Timing

The Summer Hunter program will last for three months from 1st of June to 30th of August, but we hope you’ll join us after the summer as a part-time or full-time data scientist depending on your studies. The timing is also negotiable if that exact slot doesn’t suit you.

What we have to offer

Cybersecurity is a growing industry. You get to build a product that defends companies from cybercrime, help support the cyber skills training for vast amounts of everyday professionals, and make the world more cyber secure

  • Since 2016, our family has grown from 4 founders to 90 people
  • Hoxhunt’s add-on for engaging with training and reporting real threats are present on 500,000+ workstations and accounts globally
  • We value professional growth, peer-support, and learning; we support these values in various ways
  • We have a strong company culture and care for our people
  • All of our employees have extensive health care
  • Your work matters – we value and support professional growth, peer-support and learning
  • Last but not least, we promise you a fun but ambitious environment that works hard, plays hard, and laughs a lot

We’re hoping you have

  • A passion for continuous learning and professional growth
  • A degree (completed or still studying) in data science, mathematics, statistics or computer science or equivalent experience
  • It would be beneficial if you have some basic knowledge with Python, SQL, -Git and Linux/Mac command line
  • Curiosity towards owning implementation of your data models and insights and seeing them delivering real results
  • Fluent written and spoken English; other languages are seen as benefit

Choose the boots that fit you the best

The application period for positions opening in January end on 25.01.