Data scientist

Are you a passionate Data Scientist ready to dive in enormous amounts of data in an industry where you can really makes a difference? This is your chance to join Cybersprint, Europe's premier cybersecurity scale-up. In addition, with Cybersprint being a Darktrace company, you will also have access to data and knowledge from the Cambridge based world leaders in Autonomous Cyber AI. Not only will you be surrounded by some industry experts, you're going to be on a fantastic journey while you're at it. Get ready to watch your algorithms impact companies and people worldwide.

Cybersprint

Our Attack Surface Management platform offers automated asset discovery and assessment. It supports customers to prioritise, mitigate and monitor risks. Continuous data quality, integration, reporting and alerting will shorten their cyber-security journey.

Data scientist @ Cybersprint

For our headquarters in The Hague (NL), we are looking for an enthusiastic colleague with strong analytical skills and experience in creating and implementing data science applications to help our team learn and grow.

Would you like to become our next data scientist to join our growing team of cybersecurity experts? As of day one you will be a vital part of Cybersprint’s business operations and will help providing security to Cybersprint’s customers and the (cyber) world.

Who are you?

• You are always looking for new creative ways to solve real world challenges using data science applications
• You are curious to explore new data sources and the patterns it may hold
• You have a customer-focused mind and understand business needs
• You understand that an algorithm by itself is just an algorithm. The process doesn’t end for you until after proper implementation
• Even though you are flexible and creative, you believe in producing good quality code, which is well tested and future proof
• You know how to fail fast, and how to stick your teeth in when you need to push some beautiful piece of code over the finish line
• You can translate business questions in to hypotheses and analysis outcomes in to understandable story-lines

Knowledge

• Academic education (‘WO’ in the Netherlands) or proven knowledge and experience within the context of the vacancy
• You’ve designed, developed, and maintained algorithms used in production environments
• Machine learning and neural networks are second nature to you
• In-depth experience and knowledge of Python
• Extensive experience with (no)SQL databases
• Fluent in English

It would be great if you had some of the following experiences: 

• Experience with CI/CD and tools such as Git, JIRA, GitLab, or Jenkins
• Awareness or understanding of Internet related protocols such as WHOIS, BGP, IP and HTTP
• Experience with dashboarding software like PowerBI
• Experience with Linux and Docker
• Cybersecurity knowledge

Competences:

• Strong analytical skills
• Critical mindset
• Quality orientation
• Strong communication skills
• Project management skills
• Strong sense of ownership, urgency, and drive
• Results oriented thinking and work approach
• Being able to work independently
• Team player
• Flexible

This role reports to the Technical Department Team Lead. The role is part of the Data Science team but will have strong links to our Development and Ops teams.

About Cybersprint

Cybersprint maps the attack surface of organisations and brands, offering full visibility using continuous and automated digital asset discovery. Cybersprint’s zero-scope AI-driven approach to Attack Surface Management provides an outside-in perspective, eliminating blind spots and detecting and preventing threats including data leaks, brand abuse, supply chain risk, phishing. Darktrace completed the acquisition of Cybersprint in March 2022. Darktrace (DARK:L), a global leader in cyber security AI, delivers world-class technology that protects over 6,500 customers worldwide from advanced threats, including ransomware and cloud and SaaS attacks. Darktrace’s fundamentally different approach applies Self-Learning AI to enable machines to understand the business in order to autonomously defend it.