About Ken WaveKen Wave Solutions Inc. is transforming the way critical infrastructure is inspected and managed. Our patented Dynamic Response Imaging™ (DRI™) technology combines vibroacoustic sensing, advanced signal processing, data analytics, and machine learning to assess the condition of pressurized pipelines without taking them out of service.As part of Obayashi, Ken Wave is building the next generation of infrastructure intelligence platforms for water, industrial, and energy pipeline owners worldwide.The OpportunityWe are seeking a Principal Data Scientist to lead the development of advanced analytics, machine learning, signal processing, and AI capabilities that form the foundation of Ken Wave's technology roadmap.This is a rare opportunity to work at the intersection of:PhysicsAcoustics and vibrationMachine learningDigital twinsInfrastructure intelligenceSignal processingLarge-scale data analyticsThe successful candidate will be the senior technical authority for data science and analytical algorithms, helping transform Ken Wave from a project-based analytics organization into a scalable technology platform company.Key ResponsibilitiesTechnical LeadershipDefine and execute Ken Wave's data science and AI strategy.Establish long-term analytics and machine learning roadmaps.Lead the design of next-generation DRI™ analytical methods.Guide architecture decisions for analytics and AI components within the DRI platform.Mentor Data Scientists, Data Analysts, and Data Engineers.Technical Governance & Methodology OversightServe as the technical owner and final technical authority for Ken Wave’s production analytical methods, algorithms, statistical and machine learning models,



and associated validation methodologies.Establish technical standards, design principles, development practices, and acceptance criteria for the Data Science, Algorithms and Analytics functionReview and approve changes to production analytical methodologies and algorithms prior to releaseSignal Processing & Advanced AnalyticsDevelop and enhance algorithms for:Vibroacoustic analysisSpectral analysisModal analysisTime-frequency analysisStructural response characterizationAnomaly detectionDesign robust feature extraction frameworks from field-collected waveforms.Improve pipeline condition assessment accuracy and repeatability.Design and configure robust metadata tracing and analytics output standardsDesign and develop distributable software within scalable environmentsMachine Learning & AILead development of machine learning models supporting:Condition classificationPipe deterioration assessmentLeak detectionPredictive infrastructure maintenanceRisk scoringEvaluate contemporary AI approaches including:Deep learningPhysics-informed machine learningBayesian modelsFoundation modelsAgent-based analyticsEstablish reproducibility, traceability, version control, documentation, and testing standards for production algorithms and modelsProduct and CommercializationWork closely with Product, Engineering,



Operations, and Executive teams.Translate research concepts into deployable customer-facing capabilities.Support the transition toward automated and AI-assisted condition assessment.Contribute to patent development and intellectual property creation.Research and InnovationLead R&D initiatives withUniversitiesResearch organizationsIndustry partnersGovernment-funded programsPublish technical papers and support conference presentations.Identify emerging technologies that may create competitive advantage.Required QualificationsEducation:Data ScienceComputer ScienceEngineeringApplied MathematicsPhysicsSignal ProcessingVibro-AcousticsRelated quantitative disciplinePh D or Master's degree in one of:Experience10+ years in advanced analytics, machine learning, or computational research.Experience leading high-impact technical projects.Experience mentoring and developing technical teams.Technical SkillsStrong experience in:PythonMachine LearningStatistical ModellingSignal ProcessingTime-Series AnalysisExperience withScikit-LearnPy TorchGit/Git HubCloud Platforms (AWS/Azure)Data Engineering PipelinesMLOpsStrong understanding ofSQLExperimental designStatistical inferenceOptimizationAlgorithm developmentPreferred QualificationsThe following are considered significant assets:VibroacousticsAcoustics & vibration engineeringPipeline assessmentNon-destructive testing (NDT)Utilities infrastructureWater industryOil & gas pipeline monitoringFinite Element Analysis (FEA)Physics-informed machine learningDigital twinsGeospatial analyticsThis is a non-management position#J-18808-Ljbffr

📌 Principal Data Scientist (Mississauga - Head Office)
🏢 KenWave Solutions
📍 Mississauga