Staff Analytics Engineer
Wabtec Corporation (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement data-driven and hybrid analytical algorithms for reliability, maintenance, and diagnostics (RM&D) products.
- Evaluate and analyze large datasets from equipment under field usage conditions to predict component health or failures.
- Manage projects end-to-end and communicate technical achievements internally and externally.
Minimum Requirements
- Bachelor's degree in Engineering (Mechanical, Electrical, Electronics, or Computer Science).
- 6+ years professional experience in analytics, data science, and predictive modeling, with at least 3 years hands-on AI/ML development and deployment.
- Proficiency in data modeling tools and programming languages such as R and Python.
- Knowledge of project management disciplines and Six Sigma methodology.
Ideal Candidate Profile
- Experience applying AI/ML techniques to solve engineering, reliability, or operational problems, preferably in Rail or Transportation domains.
- Familiarity with remote monitoring systems and manufacturing/engineering processes.
- Exposure to large language models (LLMs), generative AI technologies, or prompt engineering is a plus.