At a Glance
- Tasks: Lead advanced analytics and machine learning for innovative infrastructure technology.
- Company: KenWave Solutions Inc., transforming critical infrastructure management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with top universities and industry partners on cutting-edge research.
- Why this job: Join a pioneering team at the forefront of data science and AI in infrastructure.
- Qualifications: PhD or Master's in Data Science, Engineering, or related field with 10+ years experience.
The predicted salary is between 121500 - 148500 $ per year.
About KenWave
KenWave 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, KenWave is building the next generation of infrastructure intelligence platforms for water, industrial, and energy pipeline owners worldwide.
The Opportunity
We 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 KenWave's technology roadmap. This is a rare opportunity to work at the intersection of:
- Physics
- Acoustics and vibration
- Machine learning
- Digital twins
- Infrastructure intelligence
- Signal processing
- Large-scale data analytics
The successful candidate will be the senior technical authority for data science and analytical algorithms, helping transform KenWave from a project-based analytics organization into a scalable technology platform company.
Key Responsibilities
Technical Leadership
- Define and execute KenWave'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 Oversight
- Serve as the technical owner and final technical authority for KenWave’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 function.
- Review and approve changes to production analytical methodologies and algorithms prior to release.
Signal Processing & Advanced Analytics
- Develop and enhance algorithms for:
- Vibroacoustic analysis
- Spectral analysis
- Modal analysis
- Time-frequency analysis
- Structural response characterization
- Anomaly detection
- Design robust feature extraction frameworks from field-collected waveforms.
- Improve pipeline condition assessment accuracy and repeatability.
- Design and configure robust metadata tracing and analytics output standards.
- Design and develop distributable software within scalable environments.
Machine Learning & AI
- Lead development of machine learning models supporting:
- Condition classification
- Pipe deterioration assessment
- Leak detection
- Predictive infrastructure maintenance
- Risk scoring
- Evaluate modern AI approaches including:
- Deep learning
- Physics-informed machine learning
- Bayesian models
- Foundation models
- Agent-based analytics
- Establish reproducibility, traceability, version control, documentation, and testing standards for production algorithms and models.
Product and Commercialization
- Work 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 Innovation
- Lead R&D initiatives with Universities, Research organizations, Industry partners, and Government-funded programs.
- Publish technical papers and support conference presentations.
- Identify emerging technologies that may create competitive advantage.
Required Qualifications
- Education:
- Data Science
- Computer Science
- Engineering
- Applied Mathematics
- Physics
- Signal Processing
- Vibro-Acoustics
- Related quantitative discipline
- PhD or Master's degree in one of:
Experience
- 10+ years in advanced analytics, machine learning, or computational research.
- Experience leading high-impact technical projects.
- Experience mentoring and developing technical teams.
Technical Skills
- Strong experience in:
- Python
- Machine Learning
- Statistical Modelling
- Signal Processing
- Time-Series Analysis
- Experience with:
- Scikit-Learn
- PyTorch
- Git/GitHub
- Cloud Platforms (AWS/Azure)
- Data Engineering Pipelines
- MLOps
- Strong understanding of SQL, Experimental design, Statistical inference, Optimization, Algorithm development.
Preferred Qualifications
- The following are considered significant assets:
- Vibroacoustics
- Acoustics & vibration engineering
- Pipeline assessment
- Non-destructive testing (NDT)
- Utilities infrastructure
- Water industry
- Oil & gas pipeline monitoring
- Finite Element Analysis (FEA)
- Physics-informed machine learning
- Digital twins
- Geospatial analytics
This is a non-management position.
Principal Data Scientist – Mississauga employer: KenWave Solutions
KenWave Solutions Inc. is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advanced analytics and AI. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and the chance to lead impactful projects that shape the future of infrastructure intelligence. Join us to be part of a team that values mentorship and professional growth while making a meaningful difference in water, industrial, and energy sectors.
