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Technologies-expected : Python SQL Git Jira Confluence AWS Data Robot about-project : T-Mobile Poland is a workplace full of mutual inspiration and extraordinary challenges. We act boldly, we are responsible for the decisions we make, we cooperate and experiment! If you want to be up-to-date with the news from the world of technology and telecommunications and support our team with your competence and experience, share your knowledge and count on the same from our side - dont wait and join #Magenta Team! responsibilities : Collaborate with the team using advanced data science models and techniques Analyze network and business data to identify trends and possible performance improvement Apply advanced analytical methods and develop algorithms/models to extract insights from various data sources that support business operations across the value chain Develop, test, and implement data models Work closely with stakeholders to ensure data-driven insights Collaborate with stakeholders (both technical and non-technical) to understand their needs and help translate those needs into clear analytical tasks Building and Maintaining a Model Building Environment requirements-expected : At least 4 years of proven industry experience Programming skills in Python Expert knowledge of supervised and unsupervised machine learning techniques Experience with ML libraries (e.g.: Scikit-Learn, Tensor Flow, Py Torch, etc.), big data tools (e.g.: Spark, Hadoop, etc.), and orchestration tools (ML Flow) Problem-solving skills and creative thinking to address open challenges Theoretical background and experience in data analytics, data mining, machine learning, statistics and probability theory Knowledge of SQL and databases Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially Git, JIRA and Confluence Experience working with cloud (AWS, Data Robot preferable) Big data ecosystems, common ETL processes, and experience with the Azure tool stack will be an asset Teamwork spirit Experience working with network / telecom data Good knowledge of English language benefits : sharing the costs of sports activities private medical care sharing the costs of professional training & courses life insurance remote work opportunities flexible working time corporate products and services at discounted prices mobile phone available for private use no dress code parking space for employees employee referral program charity initiatives