A Snapshot of Your Day As an experienced Professional member of our Digital Core organization, you contribute to the Predictive Analytics team by developing and applying data-driven and AI-based methods to support improved decision-making across the Siemens Energy value chain. You work hands-on with industrial time-series data, combining solid analytical foundations with modern AI techniques to identify patterns, anomalies, and insights in complex systems.
In close collaboration with senior experts, business stakeholders, and external partners (including academia), you support the development and deployment of analytics solutions that bridge rigorous analytical thinking with tangible business impact.
How You'll Make an Impact - Apply data analytics, statistical methods, and AI techniques to analyze complex industrial time-series data. Support the development, testing, and validation of Predictive Analytics and AI models under guidance of senior team members
- Contribute to use cases such as anomaly detection, condition monitoring, forecasting, and root-cause analysis in operational data
- Work with domain experts and business stakeholders to translate technical and business questions into structured analytical tasks
- Balance academic rigor (sound methods, validation, documentation) with a strong focus on practical impact and scalability
- Assist in documenting methodologies, results, and best practices to enable reuse across projects and teams. Collaborate with internal teams and external partners from industry and academia on analytics and AI initiatives
What You Bring - Master's degree in data science, computer science, physics, mathematics, engineering, or a related quantitative field; PhD is a plus
- Strong foundation in data analytics, statistics, and machine learning. Relevant business experience or strong academic background in time-series analysis, including feature engineering using autoregressive techniques and advanced machine-learning and deep-learning approaches for real-world data.
- 2+ years of Hands-on experience with programming languages and tools for data analysis and AI (e.g., Python, R, JavaScript and TypeScript, SQL, TensorFlow, PyTorch)
- Ability to structure analytical problems, work with large and complex datasets, and communicate results clearly. Intellectual curiosity, motivation to learn, and ability to work effectively in a multidisciplinary, global team environment
- Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the TeamThe Digital Core AI organization has been established and designed to help Siemens Energy achieve its mission by leveraging powerful AI capabilities to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.
Rewards- Career growth and development opportunities; supportive work culture
- Company paid Health and wellness benefits
- Paid Time Off and paid holidays
- 401K savings plan with company match
- Family building benefits
- Parental leave
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