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Job Description:
Job Title: Process Data Scientist
Location: CHE - Neuchâtel
Primary Duties:
* Develops predictive/prescriptive models (CQAs, yield) with SMEs 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 teams, 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:
* Create, maintain, and improve diagnostic models.
* Create, maintain, and improve predictive models.
* Provide training and coaching.
* Manage projects.
* Support investigations.
Education and Experience Requirements:
* University degree in science/business.
* Advanced degree (Master/MBA and/or PhD) in a highly quantitative field, e.g., Engineering, Mathematics, IT, Economics, or Physics with a focus on Control Theory/Statistics/Mechatronics, Information/Operation, Management/Strategy/Economics, Technology, and Innovation Management.
* 2+ years of work experience in a 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.
* Language proficiency in French (B2) or willingness to learn and English (C1).
Digital & Data Science Skills:
* Strong expertise and experience in Artificial Intelligence/Deep Learning, Machine Learning, Big Data, and Digital.
* Proficient in programming languages such as Python/R/C; further programming experience is advantageous.
* Proficiency in database languages (SQL) and understanding of data models and databases.
* Experience in compositional data analysis and analyzing time series data.
* Knowledge of distributed computing, stochastic modeling, sampling methods, and randomized algorithms.
* Familiarity with explainable Artificial Intelligence methods.
Complexity and Problem Solving:
* Strong expertise and experience in Digital/Big Data Analytics/Artificial Intelligence/Machine Learning algorithms with respective programming knowledge.
* Ability to translate business needs into data analytics concepts and vice versa.
* Hands-on experience in implementing and executing data science initiatives and analysis.
* High-level project management skills.
Leadership:
* Strong understanding of industry, scientific, and digital trends in artificial intelligence, machine learning, and data science to develop solutions that enhance compliance and quality of life for patients.
* Partnership with local functions, IT, Engineering, Quality, and the Global Data Science team is required.
* Provide patient-centered, best-in-class GMS Data Science and enhance local data science.
Decision-making and Autonomy:
* Responsible for the day-to-day operation of the 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.
Complexity:
* Impact across the GMS portfolio.
* Ability to interface with international stakeholders and to connect internal and external data analytics experts from both academia and industries.
* Change management complexity.
* Capability to translate business needs into data analytics concepts and vice versa.
* Hands-on experience in implementing and executing 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'emploi aux employés et candidats à l'emploi sans tenir compte de la couleur de peau, de la religion, du sexe, d'orientation sexuelle, de l'identité de genre, de l'expression de genre, du statut parental, de l'origine nationale, du statut de citoyenneté, des informations ou caractéristiques génétiques, de l'état civil ou de toute autre caractéristique protégée par la loi.
Locations: CHE - Neuchatel
Worker Type: Employee
Worker Sub-Type: Regular
Time Type: Full time
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