Note: The job is a remote job and is open to candidates in USA. Calance is seeking a hands-on Lead Data Scientist to lead a predictive maintenance proof of concept for a Fortune 100 aerospace and defense client. The role involves building anomaly detection models and assessing data quality while presenting findings to stakeholders.
Responsibilities
- Lead a predictive maintenance proof of concept for a Fortune 100 aerospace and defense client
- Building anomaly detection models using freezer temperature and equipment telemetry data
- Assessing data quality
- Defining model success criteria
- Presenting technical findings to client stakeholders
Skills
- 10+ years of Data Science experience
- Strong Python, machine learning, statistics, and time-series analysis
- Experience with anomaly detection or predictive maintenance models
- Experience working with sensor/telemetry or IoT data
- MS or PhD in a quantitative field
- Excellent client-facing communication skills
- US Person required (ITAR)
- Industrial/OT data (OPC, MQTT, Historians)
- Aerospace, manufacturing, or other regulated industry experience
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