At KenWave we help pressure pipe owners save time, money, and resources by supplying information on the actual state of their pipes to support smart asset management choices. KenWave’s Tonal Pipe Assessment™  (TPA) Technology is non-invasive and provides reliable information on pipe wall conditions, leaks, air pockets, and other anomalies without the risks and dangers of invasive inspection. Our technology is safe, simple, scalable and provides maximum network coverage.

We are looking for a Data Analyst to assist us with processing field-gathered acoustic data for pipeline condition assessment projects.  This role also supports Engineers and Software Developers in creating and deploying new analytical tools and frameworks to extend our predictive capabilities.

Specific accountabilities include:

• Analyze acoustic data and manage the implementation of the condition assessment process
• Develop and improve Python Scripts for processing/interpretation of field data
• Review and integrate signal processing algorithms of sound files
• Build and maintain a queries/report dashboard using SQL
• Simplify data processing and automate where possible to support analysis
• Develop alternative methods for manual processes

Education & Skill Requirements:

• Bachelors Degree in one of the following areas: Computer Science, Data, Engineering, Mathematics, Physics
• 3-5 years of employment experience
• A Masters Degree would be an asset
• Experience with: 
  • Python, SQL, and managing databases
  • Distributed data processing frameworks
  • Software best practices including testing, benchmarking and peer reviews
  • Working through the ML lifecycle for data-intensive applications
  • Advanced pattern mining, clustering and parametric sweep optimization models
• Familiarity with Octave, Matlab and MathCAD
• Prior acoustical experience including acoustic or optical signal processing would be an asset
• Knowledge of Machine Learning, Artificial Intelligence and Data Science
• Abilitity to explain and synthesize the results of statisitcal models to a non-statistician
• Strong communication skills with the ability to collaborate across business and technological functions including interfacing with external stakeholders
• Familiarity with multivariate spectral analysis of time series data would be an asset

Think you’re the right fit? Apply today! We thank all candidates who apply, however, only those selected for an interview will be contacted. Check in regularly for new opportunities on our  website or stay up to date by following our social media platforms:  LinkedIn

KenWave is an inclusive and equal opportunity employer committed to providing diversity and accommodation for applicants upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

KenWave does not accept resumes from recruitment agencies, employment services or head hunters that are not in a formal contractual arrangement with us.  Any resume or other information received from an agency not approved by KenWave to provide resumes to this or any other job posting will be considered unsolicited and will not be considered.  KenWave will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.

We thank all candidates who apply, however, only those selected for an interview will be contacted.