Full time

CHE - Neuchatel, Switzerland

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:

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

Process Data Scientist

Überblick