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Ai data scientist

Unterpremstätten
ams OSRAM
Data Scientist
Inserat online seit: 4 Februar
Beschreibung

Job description:Standardization of data quality, interfaces, documentation, and governanceData extraction from legacy systems (Oracle/SQL; development & support of extractors)Integration / deployment of AI models into production‑adjacent systems (edge/server, FDC/MES/R2R/SPC), including monitoring and drift managementIT / OT stakeholder management and coordination (manufacturing, engineering, A&D, AI key users, facility, etc.)Technical support for analysis, exploration, and implementation of new AI use casesSupport from proof‑of‑concept to series-ready solutions, including scaling successful use cases across multiple sitesProfile description:Completed university degree in Computer Science, Mathematics, Physics, or an equivalent scientific/technical fieldFirst professional experience in Data Science / Machine Learning / Traditional AI in a manufacturing environmentProject experience in AI and data‑science environments, as well as experience with manufacturing processes and industrial analyticsExperience in computer vision and/or time‑series analysis (e.g., FDC, anomaly detection, predictive maintenance, process control)Solid knowledge of statistics and data‑driven root‑cause analysis (e.g., correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring)Excellent communication and coordination skills combined with strong analytical and problem‑solving abilitiesFluent German and English skillsWe offer competitive salaries and additional benefits based on your performance, experience and qualification.The employment is in accordance with the collective salary and wage agreement for employees of the electrical and electronics industry, employment group G ).We offer a higher compensation depending on your expertise and skills.We offer:Attractive salaryFlexible working hoursTraining opportunities & structured onboarding and development planningOpportunity for coaching, mentoring and networkingCorporate events for employeesPossibility of meals directly at the place of workDARIA.-OSRAM.COM

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