Data Investigation Engineer
LTS
full-time
Posted on:
Location Type: Hybrid
Location: Netanya • Israel
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Tech Stack
About the role
- Support a tiered investigation framework to resolve technical failures, focusing on streamlining workflows to accelerate the resolution process.
- Identify root causes of multidisciplinary system failures across Hardware, Software, and Mechanics using physical engineering principles.
- Conduct technical investigations into device behavior, utilizing laboratory tools and diagnostic jigs to extract and normalize forensic data.
- Contribute to data strategies by processing system logs, testing activities, and production line metrics.
- Develop data models and anomaly detection algorithms to identify failure trends and optimize production stability.
- Map digital signals and log signatures to physical engineering events through semantic data mapping.
- Assist in building data pipelines to convert raw system data into structured, analysis-ready formats.
- Communicate analytical findings and forensic insights to stakeholders to drive strategic improvements.
Requirements
- B.Sc. in Biomedical Engineering or Computer Science with a focus on data science.
- Up to 2 years of experience in R&D, failure investigations, or laboratory work (Medical Device experience is an advantage).
- Experience or academic projects involving data analysis and predictive modeling in a research or production environment.
- Strong analytical capabilities and a structured, root-cause-oriented mindset.
- Proficiency in Python for data analysis and automation (Pandas, NumPy, Scikit-Learn).
- Understanding data engineering principles and building structured data pipelines.
- Ability to define algorithm requirements, inputs/outputs, and edge cases.
- Knowledge of basic statistics, data visualization, and Statistical Process Control (SPC).
- Strong technical writing and communication skills in English.
- Full control of all MS-Office applications including Microsoft project.
- Fluent English.
Benefits
- Hybrid work arrangement.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysispredictive modelingdata engineeringalgorithm developmentanomaly detectiondata modelingroot cause analysisstatistical process controlPythonlaboratory tools
Soft Skills
analytical capabilitiesstructured mindsettechnical writingcommunication skills