Data Scientist - Immediate Start

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Job Description - Data Scientist - Immediate Start

We are searching for a competitive Data Scientist to join our dynamic team at Takeda Pharmaceutical in Santa Rufina 62 IT
Growing your career as a Full Time Data Scientist is a great opportunity to develop relevant skills.
If you are strong in creativity, presentation and have the right drive for the job, then apply for the position of Data Scientist at Takeda Pharmaceutical today!

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Sarà considerato requisito preferenziale l'appartenenza alle categorie protette (legge n. 68/99)

Job Title: Data Scientist

Location: Rieti

MAIN ACTIVITIES AND DUTIES:

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.

  • 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 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.

EDUCATION:

  • 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

ADDITIONAL INFO

  • Willingness to travel within Takeda sites

Locations

ITA - Rieti

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Benefits of working as a Data Scientist in Santa Rufina 62 IT:


● Learning opportunities
● Advancement opportunities
● Attractive package
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