Data scientist - datenwissenschaftler
Takeda pharmaceuticals
- Oranienburg
stellenbeschreibung
Job Description By clicking the"Apply"
button, I understand that my employment application process with Takeda will commence and that I agree with Takeda's Privacy Notice, Privacy Policy and Terms of Use. Job Description Are you looking for a patient-focused, innovation-driven company that will inspire you and support your career? If so, take charge of your future and join our local Manufacturing Sciences and our global Data Analytics team as a Data Scientist (all genders) in Oranienburg. As Global Manufacturing and Supply and Global Quality (GMSGQ) we are on a mission to enhance performance through Advanced Analytics - Big Data. We want to achieve this by applying Advanced Analytics to optimize process performance (e. G. yield, energy, throughput, quality) through advanced non-linear process modeling and parameter optimization (Machine Learning) and creating non obvious insights through descriptive models or predict unusual events
Your Primary Accountabilities
:- gathering and identifying local data analytics initiatives, possibilities and requests in collaboration with the local it and the global gmsgq data analytics team * local implementation of gmsgq data analytics roadmap initiatives * owning, managing and driving local data analytics initiatives, such as predictive maintenance, down time analysis and respective database management * driving local process monitoring and improvement in collaboration with the global gmsgq data analytics team (e. g. descriptive statistics and visualization, statistical process control, and out-of-the-box-tools) * executing respective reporting in collaboration with global gmsgq data analytics (e. g. automated daily, monthly, and annual stability analysis targets) * supporting and participating in the global gmsgq data analytics community your profile:
- bachelor of science or postgraduate degree in e. g. engineering, it, mathematics or physics with a focus on e. g. control theory/statistics/mechatronics, information/operation, or innovation management * expertise and experience in digital/big data analytics/ai/machine learning:
- expertise in signal processing, control systems, and mechatronics * experience in machine learning algorithms (cnn, svm, lstm etc. ) * respective programming knowledge of python/r and sql expertise * expertise in database/system design:
- develop and maintain etl processing pipelines for batch and near-real time data as well as analytical/machine learning workflows * experience with aws cloud data architectures * experience in sap master data management:
- clean master data for implementation of sap apo optimization algorithms * optimize of planning across site:
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