We are looking for a forward-thinking and motivated individual who can bridge the gap between business operations and Data Science to drive innovation and automation within the Monitoring team. In this role, You will leverage advanced analytical methods and models to optimize business processes, uncover patterns, detect inefficiencies, and provide meaningful insights. You will also be responsible for developing automated reporting systems, conducting technical research to explore emerging technologies, and using causal inference techniques to drive impactful improvements. This is a highly collaborative role, where You will work closely with cross-functional teams and stakeholders to shape data-driven strategies that elevate operational performance.
responsibilities :
Pattern Recognition – utilizing analytical tools and statistical models to identify patterns and trends in network monitoring data
⚠Anomaly detection – applying statistical / Machine Learning models to recognize abnormal, incorrect or inefficient repair services
⚙Automated Reporting – creating and maintaining tools for automatic report generation
Technical research – conducting research to identify emerging technologies that could benefit the organization
Causal inference analysis – identifying the reasons behind various business processes and proposing solutions for improving current practices
Collaboration with other teams – presenting findings and providing technical guidance for the Development and Operations teams
✨Stakeholder engagement – communicating with stakeholders to understand their needs, presenting updates to management and other relevant parties
requirements-expected :
Residing in or near Warsaw
Fluency in both Polish and English
Bachelors degree in a quantitative field (e.g. Data Science, Statistics, Econometrics, Economics, Operations Research, Computer Science)
At least 1 year of relevant work experience (e.g. as a Business Analyst, Data Scientist, ML Engineer)
Hand-on experience with Python (pandas, sklearn, pytorch, keras) or R (tidyverse, tidymodels)
Familiarity with the latest technologies and frameworks within Data Science and AI
Strong knowledge of Statistics and Data Science
Analytical problem-solving skills with a track record of solving complex challenges
Excellent communication skills to work effectively with both technical engineers and non-technical stakeholders
Ability to work independently and with a proactive mindset
