Predictive Analytics Specialist
Siemens Energy
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 datadriven and AIbased methods to support improved decisionmaking across the Siemens Energy value chain. You work handson with industrial timeseries 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. Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Digital Core AI team plays a significant role in driving the energy transformation. Honestly, we don't have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can't do it alone. Our team is looking for curious, analytically strong earlycareer data and AI experienced professionals who enjoy working at the intersection of theory and realworld industrial applications. How You'll Make an Impact
Rewards
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- Apply data analytics, statistical methods, and AI techniques to analyze complex industrial timeseries 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 rootcause 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
- 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 timeseries analysis, including feature engineering using autoregressive techniques and advanced machinelearning and deeplearning approaches for realworld data.
- 2+ years of Handson 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 employersponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
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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Vacancy posted 5 days ago
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