Principal Data Scientist
- Employment type
- Full-time · On-site
- Posted
- September 25, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. KenWave Solutions is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Data Scientist in Ontario
Median $103,730 per year, with most postings between $103,730 and $156,000 (Data scientists, 2026-05, 37 postings). This posting does not state a salary.
NOC code
21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.
Licensing: No licence or registration is required.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Machine Learning
- Data Science
- Data Analytics
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What you'll do
- Lead data science strategy and vision for infrastructure intelligence platform
- Develop and oversee machine learning models for pipeline condition assessment
- Lead cross-functional data science team
- Mentor junior data scientists and analysts
- Drive innovation in vibroacoustic sensing and analysis
- Collaborate with engineering and product teams
- Establish best practices for data analytics and model validation
What you'll need
- Advanced degree in Data Science, Machine Learning, Statistics, Physics, or related field
- 10+ years of experience in data science or machine learning
- Proven track record of leading data science initiatives
- Expertise in signal processing and acoustic analysis
- Experience with infrastructure or industrial applications
- Strong leadership and mentoring capabilities