We are seeking a highly skilled Data Scientist to join our Manufacturing Science department at Takeda Rieti. As a Data Scientist, you will play a key role in driving local digital data science initiatives and expanding knowledge for effective process monitoring and process improvement optimizations.

• Manage and drive local digital data science initiatives according to prioritization, focusing on yield improvement, real-time monitoring, and predictive process performance.
• Unlock new knowledge for effective process monitoring and process improvement optimizations through descriptive statistics and visualization, statistical process control, and out-of-the-box tools.
• Foster the adoption and development of automated pipelines for real-time data retrieval and analysis, collaborating with local teams, DD&T, Engineering, Quality, and global GMS data science.
• Partner with local functions and provide a link between local and global data science teams, ensuring seamless communication and collaboration.
• Manage and execute reporting activities, particularly for Power BI dashboards related to yield and process monitoring.
• Support and participate in global/functional/local GMS data science community, driving innovation and knowledge sharing.
• Drive necessary local trainings to ensure data science capabilities are up-to-date and aligned with business needs.
• Translate business problems into opportunities and effectively communicate findings with stakeholders, ensuring data-driven decision making.
• Assure the continuous improvement of digital data repositories, ensuring data quality and integrity.

• Good mathematical and statistical knowledge, with a strong understanding of data analysis and interpretation.
• Proven experience in manipulating large datasets and developing/ implementing machine learning/deep learning algorithms and main frameworks.
• Respective coding skills in Python/R, with proficiency in database languages (SQL) and understanding of data models and databases.
• Experience with time series data analysis is preferred, as well as familiarity with cloud computing and BI tools such as Power BI, Qlik, etc.
• Strategic enterprise thinking, with the ability to find innovative ways to serve patients, build reputation, and trust.
• Extensive capabilities to translate business needs into data analytics concepts and vice versa.
• Project management skills, with 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, with a strong ability to analyze complex data sets and identify insights.

• Master/MBA and/or PhD in Computer Science, Engineering, or other scientific disciplines.
• Proven experience (3+ years) in data analysis-related positions 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 is mandatory, with an advantage for those with contributions to GitHub repositories and Stack Overflow, and participation in competitions, e.g., on Kaggle, data challenges, hackathons.

Takeda is a global pharmaceutical company committed to bringing better health and a brighter future to people worldwide. We are a leader in the industry, with a rich history of innovation and a strong focus on patient-centricity.

We are proud to offer a dynamic and inclusive work environment, with opportunities for growth and development. If you are a motivated and talented individual who is passionate about data science and its applications, we encourage you to apply for this exciting opportunity.