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Location: Rieti

• Manage and drive local digital data science initiatives according to prioritization.
• Expand and unlock new knowledge for effective process monitoring and process improvement optimizations.
• Foster the adoption and development of automated pipeline for real-time data retrieval and analysis.
• Partner with local functions, DD&T, Engineering, Quality and provide the link between local and global data science team.
• Manage and execute reporting activities, especially the ones related to the deployment of Power BI dashboards for Yield and Process monitoring.
• Supports and participates in global/functional/local GMS data science community.
• Drive necessary local trainings.
• Translate business problems into opportunities and effectively communicate findings with stakeholders.
• Assure the continuous improvement of digital data repositories.

• Good Mathematical and Statistical Knowledge.
• Proven experience in manipulating large datasets and development/implementation of Machine Learning /Deep Learning algorithms and main frameworks.
• Respective coding skills in Python/R (essential).
• Proficiency in database languages (SQL), understanding of data models and databases.
• Experience with time series data analysis preferred.
• Familiar with Cloud computing.
• Proven knowledge of BI tools such as Power BI, Qlik, etc.
• Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trust.
• Extensive capabilities to translate business needs into data analytics concepts and the other way.
• Project management skills.
• Excellent communication and presentation skills as well as influencing skills.
• Act as a driver to raise awareness and shift the paradigm actively contributing to the digital transformation.
• Analytical, critical thinking and problem-solving skills.

• Master/MBA and/or PhD in Computer Science, Engineering or other scientific disciplines.
• Proven experience (3+ year-experience) in data analysis related position or equivalent academic experience/course record.
• Hands-on experience in applying and executing Artificial Intelligence/Deep Learning, Machine Learning, Big Data and Digital with respective programming knowledge.
• Fluent written and spoken English mandatory.
• Contribution to GitHub repositories and stack overflow and participations in competitions, e.g. on kaggle, data challenges, hackathons are advantageous.