- 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
- 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 es 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 (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
- Willingness to travel within Takeda sites
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Data Scientist - Rieti, Italia - Takeda
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Descrizione
Description
Job Title: Data Scientist
Location: Rieti
The Data Scientist will be part of the local Manufacturing Science (MS) department of Takeda Rieti and will be reporting to the Investigation & data science lead. The position is based in Rieti.
Locations
ITA - RietiWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full time