Data Scientist | Senior | Threat Intelligence Team

at Nord Security
📍 Vilnius, Lithuania
📍 Kaunas, Lithuania
EUR 42,000-81,600 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Python @ 6 Spark @ 6 Statistics @ 4 Algorithms @ 4 Machine Learning @ 4 Data Science @ 4 AWS @ 4 Communication @ 4 Mentoring @ 4 Networking @ 4 Debugging @ 4 Pandas @ 6

Details

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.

Responsibilities

  • Design solutions to problems while researching, debugging, and analyzing data using different data sources
  • Take ownership of projects from idea to completion, overseeing all aspects of the project lifecycle, including planning, execution, monitoring, and delivery
  • Create scalable and reliable code, as well as write documentation for contributions
  • Research, develop, and deliver data science solutions to production
  • Develop custom ML metrics to monitor model performance
  • Analyze validation/testing results, explain them, and improve model design accordingly
  • Plan deliverables with team members, maintain constant communication about progress, engage in mentoring and knowledge sharing
  • Conduct code reviews and suggest improvements to current solutions

Requirements

  • At least 5 years of experience in data science or mathematical modeling
  • Solid knowledge of statistics (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.
  • Proficient in deep learning methodologies with comprehensive understanding and extensive practical experience
  • Proficiency in Python and hands-on experience with the PyData stack (Pandas, Numpy, MatPlotLib, Spark) for analytics/machine learning
  • Experience in cloud services (preferably AWS)
  • Excellent problem-solving skills (researching, debugging, instrumentation)
  • Ability to break down and prioritize work, make informed decisions about tools and algorithms
  • Willingness to explore, grow, mentor others, and keep up with latest innovations in data science

Bonus Points

  • Understanding of networking and internet protocols
  • Ability to highlight potential problems in machine learning solutions at early stages
  • Experience releasing and maintaining machine learning services in production

Tools You Will Use

  • Pyspark
  • Python
  • Jupyter Notebook
  • AWS

Salary Range

  • Gross Salary 3500 - 6800 EUR/Month