Beschreibung

As a Lead Data Scientist, you will be responsible for developing and managing Digital Waukesha products within the Budapest engineering team, working closely with the Waukesha (US) and Jenbacher (AT) Data Science teams and cross-functional partners. Your key tasks include implementing advanced analytics and machine learning algorithms, validating models on INNIO’s IoT platform, and supervising junior data scientists and interns. You will analyze large time series datasets, ensure high-quality and maintainable analytics solutions, and provide clear documentation for service teams and customers. Strong software development skills (Python, PyTorch, TensorFlow, SciKit), experience with Agile methodologies, and effective stakeholder communication are essential. The role requires a relevant degree and willingness to travel to the US and Austria (approx. 30% per year).

Your tasks:

• Work in the Budapest engineering department with close contact to the Waukesha (US) and Jenbacher (AT) Data Science Team of the INNIO Digital organization as well as strong collaboration with other disciplines (i.e. Research Partners, Controls Engineering, Service, Electrical Engineering and System Design, Mechanical Design, Thermodynamics, IT departments)
• Develop new and existing Digital Waukesha products and manage the programs from an engineering point of view, working closely with our product line management team as well as partners
• Implement complex algorithms and analytics from idea generation over development to product release
• Apply advanced methods like machine and deep learning on a huge set of timeseries data combined with multiple data sources and types
• Work on multiple projects simultaneously, supervise and guide Junior Data Scientists and Interns
• Validation of advanced models on INNIO’s own developed IoT platform under consideration of lean and efficient coding
• Use of modern software technologies for advanced analysis of sensor and engine data to find patterns and relationships to the condition of components and the engine (i.e. data mining, machine learning)
• Willingness to work independently and leverage available data, analyze, define path(s) to solution, and influence stakeholders in aligning to that path forward.
• Provide meaningful documentation for our service department and customers (user manuals, setup instructions, test reports and FAQ’s)
• Continuously communicate with stakeholders in technology/service engineering, service and operations departments to ensure efficient project execution

Your profile:

• Bachelor’s or master's degree (or equivalent) in Computer Science, Mathematics or other related areas in engineering
• Working experience in statistical and analytical algorithm design and technologies (Python, PyTorch, TensorFlow, SciKit)
• Working experience in software development and related processes including Agile Methodology (Scrum; Sprint; etc.) 
• Familiarity in dealing with large time series data sets (Big Data)
• Experience in development of scalable algorithms or analytics and machine learning techniques
• Strong analytic and problem-solving skills
• Affinity to design analytics on a high quality and maintainability level
• Willingness and ability to travel to the United States (Waukesha) and to Austria (Jenbach) by approx 30% a Year
• Proficiency in Java and JavaScript
• Skilled in utilizing REST and GraphQL APIs
• Knowledge of cloud-based microservice architectures, such as Kubernetes and Docker
• Understanding of internal combustion engines
• Familiarity with gas compression or power generation applications