Data Scientist | Senior | Threat Intelligence Team

at Nord Security
📍 Warsaw, Poland
PLN 211,200-338,400 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 provides accurate and timely information on potential threats to our products. The team includes specialists in Data Science, Malware Research, Development, and Privacy who use feeds, heuristics, algorithms, and machine learning to achieve a common goal.

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, and write documentation for your contributions and explorations.
  • Research, develop, and deliver data science solutions to production.
  • Develop custom ML metrics to monitor model performance.
  • Analyze validation and testing results, explain them, and improve model design accordingly.
  • Plan deliverables with team members, maintain constant communication about progress, and 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 (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference).
  • In-depth knowledge and hands-on experience with 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 (e.g., 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 and make informed decisions about tools and algorithms for specific problems.
  • Willingness to explore, grow, and mentor others while keeping up with the latest innovations in data science.

Bonus

  • Understanding of networking and internet protocols.
  • Ability to identify 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: 17,600 - 28,200 PLN / Month (211,200 - 338,400 PLN / Year)

Workplace

  • Hybrid (Warsaw, Poland)