Nordsec2mo ago

Data Scientist | Senior | Threat Intelligence team

Vilnius · VilniusFull Timesenior

Data ScienceSecurityData ScientistData & AI

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Quick Summary

Overview

The world’s most advanced VPN, and a whole lot more. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol,

Technical Tools

Data ScienceSecurityData ScientistData & AI

The world’s most advanced VPN, and a whole lot more.

If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.

Your impact? Helping millions take back control of their online security, privacy, and data.

Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Design solutions to problems while researching, debugging, and analyzing data using different data sources;

Create scalable & reliable code, as well as write documentation for the parts that you’ve contributed to or explored;

Research, develop & deliver data science solutions to production;

Develops custom ML metrics that would help to monitor model performance;

Analyze validation/testing results, explain them, and improve model design accordingly;

Plan the deliverables with the team members;

Code reviews;

Constant communication about the progress;

Mentoring & knowledge sharing;

Suggest improvements to current solutions.

Proven experience in data science and/or mathematical modeling;

Solid knowledge of statistics (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);

In-depth knowledge and hands-on experience in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;

Proficiency in Python and hands-on experience with the PyData stack (e.g., Pandas, Numpy, matplotlib) for analytics/machine learning;

Excellent problem-solving skills (researching, debugging, instrumentation);

Ability to break down and prioritize work, make informed decisions about which tools and algorithms to use for specific problems;

Team-driven mentality and ability to collaborate with other colleagues, as well as ownership;

Willingness to explore, grow and mentor others while keeping up with the latest innovations in data science.

Monthly gross salary from 3,500-6,800EUR