Data Scientist

Company:
Location: Tanjong Pagar

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About Elevate Tech

Elevate Tech was established in 2019 and operates an IoT sensor platform for the lift industry. The platform provides lift monitoring, predictive maintenance and energy efficiency analysis services for stakeholders such as building owners, lift contractors and lift engineers. Elevate Tech provides its customers with insights, so that action can be taken to prevent breakdowns, reduce operating cost and optimise lift efficiency.


About the Role

We are looking for a data scientist to work with us to analyse lift and escalator vibration data, determine trends in the data, identify faults and ultimately, create algorithms to detect key events in lifts and escalators based on the live stream of sensor data.


What You Will Do

  • Analyse the data to determine patterns for key events such as abnormal lift and escalator motion, vibration and jerkiness
  • Create algorithms to detect anomalies (which could lead to lift and escalator failures) and work with the development team to determine what are the cause of those anomalies
  • Create algorithms to identify a recurrence of previously identified faults
  • You will work closely with the team who are developing the platform, which provides information access to lift and escalator stakeholders


What You Will Need

  • Major in Computer Science, Economics, Statistics, Machine Learning, Operations Research, Electronic Engineering, Mechanical Engineering or other quantitative disciplines
  • Experience in modeling and algorithm development
  • Experience with time series data
  • Experience with pattern recognition techniques and models
  • Coding proficiency and the ability to develop statistical analysis and prototype algorithms in Python or R
  • Proficiency in SQL
  • Ability to communicate effectively with both technical and business stakeholders
  • > 4 years experience in data analytics, preferably with experience in time series data and pattern recognition methods

*** Mention DataYoshi when applying ***

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