Data Scientist | Senior | Threat Intelligence team

Main 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 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 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.

Core 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 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 (preferably 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.

Tools Your Will Use

• Pyspark;
• Python;
• Jupyter notebook;
• AWS.

Salary Range

• Gross Salary 17600 - 28200 PLN/Month.