Join our Cybersecurity Team as a Graph Drawing Data Scientist!
At aizoOn, we have been pioneering cybersecurity solutions since 2007 and developing cutting-edge technology since 2012. Our flagship product, introduced in 2013, was among the first in the world to apply machine learning techniques to network traffic analysis, detecting behavioral anomalies and advanced attacks.
We are on a mission to transform cybersecurity challenges with a data-driven approach. Our goal is to become a global vendor, with a disruptive platform to reshape the cybersecurity landscape. Traditional practices driven by risks hypothesis based on annual interviews and on-paper assessments are outdated. With our ESRA platform (Enhanced Security Risk Analytics), we provide near real-time visibility across the cyber realm and data-driven risk analysis, offering a revolutionary approach to objective cybersecurity risk management.
Why Join Us?
* Innovative Environment: Be part of a dynamic team of over 30 experts with deep and diverse expertise, pushing the boundaries of cybersecurity.
* Startup Spirit: We value entrepreneurial drive, innovative thinking, and the grit to challenge the status quo.
* Passion for Technology: If you are passionate about technology and improving society, this is the place for you.
* Comprehensive Benefits: Competitive salary, performance-based bonuses, welfare incentives and stock options.
Your Role
As a Graph Data Scientist, you will be crucial in developing, evolving and maintaining our innovative cybersecurity solution, ESRA. Your contribution will directly impact the safety and security of our digital world.
You will be responsible for:
* Defining algorithms to solve identified problems in the scope of the product, typically against large graph data structures representing complex cyber-physical environments; evaluating and optimizing complexity, proving relevance and correctness; following up to production upon proposal acceptance.
* Implementing proof of concepts to test and benchmark defined algorithms; collaborating with developers for production-grade implementations.
* Conducting applied research activities to continuously improve the product capabilities in collaboration with domain knowledge experts.
Profile
• Education: Master's degree in a STEM discipline. Post-graduate education preferred, e.g., Ph.D. in computer science focusing on graph drawing or algorithms.
• Experience: At least 3 years in roles concerning definition and optimization of algorithms, graph drawing or big data analysis.
• Language Skills: Proficiency in the English language.
Technical Skills
* Graph drawing: graphs theory and common algorithms, graph-based data structures design, definition of graph algorithms and analysis of computational complexity, algorithms optimization for selected use cases, graphs visualization techniques, large graphs handling techniques and common tools.
* Ability to devise algorithmic solutions to identified problems over large graph-based data structures controlling their complexity.
* Proficiency in at least one between Python and Java programming languages, to the extent necessary to implement proof of concepts, tests and benchmarks.
* Previous experience in a cybersecurity context will be considered a plus.
* Previous experience in creating large graphs visualizations will be considered a plus.
* Nice to have: Knowledge or experience with machine learning or other artificial intelligence fields or technologies.
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