Process Data Scientist

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Job Title: Process Data Scientist

Location: CHE - Neuchâtel

Primary duties:

• Develops predictive/prescriptive models (CQAs, yield) with SME’s throught adequate tools like Simca to improve process robustness and efficiency.
• Owns, manages, executes and maintain 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.

Responsabilties:

• 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 quantitive 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

Technical/Functional (Line) Expertise(Breadth and depth of knowledge, application and complexity of technical knowledge)

• 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 technologie into execution

Complexity

• Impact across GMS portfolio
• Ability to interface with international stakeholders and to connect internal and
  external data analytics experts of both academia and industries
• Change management complexity
• Capabilities to translate business needs into data analytics concepts and the other way
• Hands-on, able to implement and execute initiatives

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)

En savoir plus sur Takeda Neuchâtel:

Avec plus de 700 collaborateurs, Takeda Neuchâtel est l’un des dix plus grands employeurs du Canton de Neuchâtel et l’un des sites de production biopharmaceutique de référence en Suisse. Actif 24 heures sur 24 et 7 jours sur 7, le site emploie un large éventail de professionnels formés aux biotechnologies et à leur application dans la production industrielle.

Avec plus de vingt nationalités, Takeda Neuchâtel offre un environnement de travail international, diversifié et innovant au sein d’une entreprise ancrée et engagée dans son écosystème local.

Takeda Neuchâtel est certifiée Entreprise Formatrice par le Secrétariat d'Etat à l'Economie Suisse. Nous formons des jeunes apprentis dans divers domaines tels que le contrôle qualité en laboratoire, la logistique, l’informatique et la production biopharmaceutique.

“Donner à nos employés les moyens de briller”:

Takeda est fière de son engagement à créer une main-d'œuvre diversifiée et à offrir des opportunités d les employés et candidats à l'emploi sans tenir compte de la couleur de peau, de la religion, du sexe, d sexuelle, de l'identité de genre, de l'expression de genre, du statut parental, de l'origine nationale, de l statut de citoyenneté, des informations ou caractéristiques génétiques, de l'état civil ou de toute autre protégée par la loi.