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Job Title: Data Scientist
Location: Rieti
MAIN ACTIVITIES AND DUTIES:Manages and drives local digital data science initiatives according to prioritization (e.g. Yield Improvement, real-time monitoring, predictive process performance etc.).Expand and unlock new knowledge for effective process monitoring and process improvement optimizations (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools).Foster the adoption and development of automated pipeline for real-time data retrieval and analysis. Gathers and identifies local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global GMS data science.Partnership with local functions, DD&T, Engineering, Quality and provides 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.Drives necessary local trainings.Translate business problems into opportunities and effectively communicate findings with stakeholders.Assure the continuous improvement of digital data repositories.BEHAVIOURAL COMPETENCIES AND SKILLS: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.EDUCATION:Master/MBA and/or PhD in Computer Science, Engineering or other scientific disciplines.Proven experience (3+ years) 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.Additional Info:Willingness to travel within Takeda sites.Locations:ITA - Rieti
Worker Type:Employee
Worker Sub-Type:Regular
Time Type:Full time
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