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Open since May 2022

Sensor Data AnalystWood · St. John's

Sensor Data Analyst

St. John'sOn-site

AI Summary

Analyzes sensor data from autonomous robotics to monitor plant equipment, identify trends, and support carbon reduction and safety initiatives.

About this role

Overview / Responsibilities

Wood is looking for a Sensor Data Analyst to join their team in St. John’s Newfoundland to support an exciting new project aimed at reducing carbon emissions and enhancing safety through the use of autonomous robotics.

  • Sensor Data analyst role shall use tools to analyze the data streamed or collected from the robot sensors that provide Photographs, LIDAR, IR, thermal, gas detection, acoustic and other sensor modalities.
  • The data is analyzed to give insight into the current status of the plant/facilities equipment using different metrics (these metrics are set based on the organization’s needs).
  • Preparing reports for the client stating trends, patterns, and predictions using relevant data.
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies

Qualifications

  • String physics background is required.
  • Experience with Linux, Windows and python scripting.
  • Experience with thermal imaging and methane detection would be helpful.
  • BSc/MSc in Physics, Math, Engineering or related discipline.
  • Good oral and written communication skills.
  • Ability to work in a multi-disciplinary team.

Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world’s most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Skills

Data AnalysisLiDARLinuxMethane DetectionPythonReportingThermal ImagingWindows

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