Senior Data Scientist

at Nord Security

📍 Warsaw, Poland

zł207,600-357,600 per year

SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

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

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, demonstrating the ability to oversee all aspects of the project lifecycle, including planning, execution, monitoring, and delivery;
  • Create scalable & reliable code, as well as writing documentation for the parts that you’ve contributed to or explored;
  • Research, develop & deliver data science solutions to production;
  • Develop 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 of current solutions.

Requirements

  • At least 3 years of experience of 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 in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;
  • Proficient in deep learning methodologies with a comprehensive understanding and extensive practical experience in their application;
  • Proficiency in Python and hands-on experience of the PyData stack (e.g., Pandas, Numpy, MatPlotLib, Spark) for analytics/machine learning;
  • Experience in cloud services (we use AWS);
  • 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;
  • Willingness to explore, grow, and mentor others while keeping up with the latest innovations in data science.

Bonus Points For

  • Understanding of networking and internet protocols;
  • Ability to highlight potential problems in machine learning solutions at early stages;
  • Released & maintained machine learning services in production.