The role involves developing and deploying AI capabilities such as prediction, anomaly detection, and simulation solutions within the Celonis Process Intelligence Platform to enhance business decision-making and process optimization.
Key Responsibilities
Develop AI capabilities such as prediction, simulation, anomaly detection, and forecasting models using Python, PQL, and SQL
Design and build AI applications with intuitive UI/UX for easy adoption and customization
Collaborate with customers to identify AI solutions that enhance human decision-making
Support all stages of product development from ideation to scaling solutions across customers
Monitor and deploy machine learning models to ensure performance and reliability
Requirements
3-6 years of experience as a Data Scientist, AI Engineer or a similar position
Proficiency in programming languages such as Python
Advanced SQL expertise
Practical experience in Machine Learning solutions like predictive modeling, simulation, anomaly detection, and optimization forecasting
Proven experience developing AI solutions for enterprises, with a strong portfolio showcasing successful use cases solving real-world problems
Excellent problem-solving skills, analytical thinking, and attention to detail, with a track record of delivering high-quality solutions under tight deadlines
Strong communication and collaboration skills, with the ability to translate complex concepts into actionable insights for non-technical stakeholders
Experience in production level acceptance testing, delivering end-to-end solutions
Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Econometrics or a related field
Benefits & Perks
generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
gym subsidies
counseling and well-being programs
clear career paths
internal mobility
dedicated learning program
mentorship opportunities
community and support through inclusion and belonging programs
Ready to Apply?
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