Process Data Scientist

vor 3 Wochen

Neuenburg, Schweiz Takeda Pharmaceutical Vollzeit

Job Title: Process Data Scientist

Location: CHE - Neuchâtel

Primary Duties:

  • Develops predictive/prescriptive models (CQAs, yield) with SME’s through adequate tools like Simca to improve process robustness and efficiency.
  • Owns, manages, executes and maintains local data science initiatives.
  • Gathers and identifies local data science possibilities/initiatives/requests in collaboration with local team, IT, Engineering, Quality and global GMS data science.
  • Provides the local link between local and global GMS data science, local functions, Quality, IT, Engineering in the respective region/Operational Business Unit.
  • Drives the local execution and implementation of GMS Data Science strategy and initiatives.

Responsibilities:

  • Diagnostic model: create, maintain and improve.
  • Predictive model: create, maintain and improve.
  • Training and coaching.
  • Project management.
  • Investigation support.

Education and Experience Requirements:

  • University degree of science/business.
  • Advanced degree (Master/MBA and/or PhD) in highly quantitative field, e.g. in Engineering, Mathematics, IT, Economics or Physics with focus on either Control Theory/Statistics/Mechatronics, Information/Operation, Management/Strategy/Economics, Technology and Innovation Management.
  • 2+ years work 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 in English.

Digital & Data Science Skills:

  • Strong expertise and experience in Artificial Intelligence/Deep Learning, Machine Learning, Big Data and Digital.
  • Respective programming knowledge in Python/R/C is required. Further programming experience is advantageous.
  • Proficiency in database languages (SQL), understanding of data models and databases.
  • Compositional data analysis and analyzing time series data.
  • Distributed computing, stochastic modelling, sampling methods and randomized algorithms.
  • Explainable Artificial Intelligence methods.

Complexity and Problem Solving:

  • Strong expertise and experience in Digital/Big Data Analytics/Artificial Intelligence/Machine Learning algorithms, respective programming knowledge.
  • Capabilities to translate business needs into data analytics concepts and the other way.
  • Hands-on, able to implement and execute data science initiatives, analysis, machine learning.
  • High level project management skills.

Leadership:

  • A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patients.
  • Role requires partnership with local functions, IT, Engineering, Quality and Global Data Science team.
  • Provide patient-centered best in class GMS Data science, enhance local data science.

Decision-making and Autonomy:

  • Responsible for day to day operation of local data science function, covering all data science levels and related technologies.

Interaction:

  • Role requires partnership across local, functional and global GMS Data Science, IT, Engineering and GMS region.
  • Clear partnership with Quality is required to ensure alignment for data science processes.

Innovation:

  • Translate data science, artificial intelligence and machine learning trends and technologies into execution.

Internal and External Contacts:

  • Digital and Data Science - Global Manufacturing Science.
  • Global IT (OSIPi, Simca, PAS-X).
  • Supplier of mathematical computing software (Mathworks).
  • Supplier of Data analytics tools and real-time monitoring tools (Sartorius).

Locations: CHE - Neuchatel

Worker Type: Employee

Worker Sub-Type: Regular

Time Type: Full time

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