Data Scientist - Predictive Maintenance & AI/ML

VECTOR SEARCH PROFESSIONALS

Singapore

On-site

SGD 100,000 - 140,000

Full time

9 days ago

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Job summary

VECTOR SEARCH PROFESSIONALS in Singapore seeks a data scientist to develop predictive maintenance models using operational sensor data for failure prediction, asset degradation monitoring, remaining useful life estimation, and time-to-threshold forecasting.

You will apply survival analysis, time-series forecasting, anomaly detection, change-point detection, and representation learning, selecting approaches based on objective metrics and documented experiments, while balancing performance with

Qualifications

  • Requires strong foundation in ML concepts and evaluation techniques.
  • Experience with time-series data and sensor data preferred.
  • Familiarity with anomaly detection, change-point detection, and representation learning.
  • Ability to translate operational problems into ML solutions and document experiments.

Responsibilities

  • Develop and validate models using sensor data for failure prediction and RUL estimation.
  • Apply survival analysis, time-series forecasting, anomaly detection, and representation learning.
  • Balance performance, explainability, and production deployment requirements.
  • Collaborate with product and engineering teams, domain experts, and data center professionals.

Skills

Machine Learning
Time-Series
Anomaly Detection
Predictive Maintenance
Data Analysis

Education

Bachelor's or Master's in Engineering/CS/DS

Job description

VECTOR SEARCH PROFESSIONALS in Singapore seeks a data scientist to develop predictive maintenance models using operational sensor data for failure prediction, asset degradation monitoring, remaining useful life estimation, and time-to-threshold forecasting.

You will apply survival analysis, time-series forecasting, anomaly detection, change-point detection, and representation learning, selecting approaches based on objective metrics and documented experiments, while balancing performance with

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