Jobs in British Columbia

Jobs across British Columbia, Canada. Choose a city or town to search nearby.

79,738 listings · 11,804 employers Counted Nov 2, 2026. How we count

About these jobs

Employers hiring include Health Match BC (3,711 listings), Vancouver Coastal Health (1,598 listings), Fraser Health (1,419 listings).

Common roles: Family physician, Registered nurse, Cook.

18,933 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	27.73	12,996
CAD / year	80,000.00	4,345
CAD / month	5,027.00	566
USD / hour	18.75	414
USD / year	76,900.00	190
CAD / week	1,450.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 11% hybrid, 89% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in British Columbia

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DarkVision

Data Scientist

North Vancouver, BC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of industry experience as a Data Scientist or in a related role.
Posting language: English
Posted: Sep 28, 2026

Original job description

About DarkVision Technologies Inc.

DarkVision is a Vancouver-based tech company that has been disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform, revolutionizing how our clients quantify and visualize the integrity of their critical assets.

Backed by Blackstone, one of the world’s largest private equity firms, DarkVision’s team of Software, Mechanical, and Machine Learning Engineers and Data Analysts is rapidly expanding to meet the demand for the company’s current and upcoming products.

Our employees work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.

Your Job

DarkVision is seeking a Data Scientist to join our Imaging & AI team. You will ensure the statistical validity and business impact of our models by owning experimental design, causal analysis, and data integrity audits. You will be the bridge between our expert data analysis, machine learning models, and the actionable insights delivered to our clients.

DarkVision’s ultrasound imaging system collects huge datasets on the order of terabytes, involving sub-millimetric defects across assets that span hundreds of kilometers. Interpreting this data requires more than just black-box models; it requires rigorous statistical verification. You will focus on the development of analysis pipelines that validate our model performance and the creation of advanced visualizations that communicate complex results to stakeholders.

Our Team

Working under the Imaging & AI team, you will join a multidisciplinary group of scientists and engineers. This team is responsible for early-stage ideation, research, experimentation, and development. You will collaborate closely with Machine Learning Scientists and Engineers to design experiments that prove the reliability of our technology.

What You Will Do

Experimental Design & Validation: Design and execute rigorous experiments to validate the performance of deep learning models. You will apply statistical methods to ensure our results are significant, reliable, and reproducible.
Data Integrity & Analysis: Conduct deep-dive analyses and causal audits on our datasets. You will identify biases, anomalies, or quality issues in the data that could impact model training or production inference.
Information Visualization: Create compelling 3D visualizations and automated reports that translate complex acoustic data into clear, client-facing insights for VPs and C-suite executives.
Analysis Pipelines: Develop production-grade Python code to automate data processing and analysis workflows. You will ensure that statistical checks are integrated directly into our pipelines.

Who You Are (Basic Qualifications)

Bachelor’s or Master’s degree in Statistics, Physics, Mathematics, or a related quantitative field, with substantial training in applied statistics.
3+ years of industry experience as a Data Scientist or in a related role.
Strong proficiency in Python for data processing, statistical analysis, and visualization.
Strong foundation in statistics and probability, including statistical modeling and hypothesis testing, with hands-on experience designing, running, and interpreting statistical studies.
Ability to present statistical results clearly and rigorously using appropriate plots and visualization methods.
Familiarity with AWS or similar cloud platforms for data storage and compute.
Experience working with large, hierarchical datasets, including data held in non-relational storage.
Strong communication skills to present complex statistical findings to senior non-technical audiences.

What Will Put You Ahead

Knowledge of Bayesian inference, time-series analysis, causal inference, and multivariate statistics.
Experience designing A/B tests or clinical-trial-style validation studies for algorithmic products.
Applied statistics experience in industrial or scientific settings, such as statistical process control, yield engineering, defect metrology, or experimental physics.
Experience with GIS or geospatial data analysis.
Experience visualizing and interpreting large 3D datasets, such as volumetric imaging or point cloud data.
Experience analyzing high-dimensional, unstructured data (images, signals, or acoustic waveforms) rather than just tabular data.
Advanced academic research experience (MSc, PhD) in Statistics, Physics, Mathematics, or other related fields.
Track record of peer-reviewed publications in applied statistics, physics, or related fields.

General Salary Range

For this role, we anticipate paying $100,000 to $150,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

Keywords: Data Scientist, Applied Statistics, Probability, Experimental Design, Bayesian Inference, Causal Analysis, Python, AWS, Cloud Computing, Signal Processing, 3D Visualization, GIS.

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More about this job

Responsibilities

Design and execute statistical experiments to validate deep learning model performance, and audit datasets for bias, anomalies, and quality issues. Build production-grade Python analysis pipelines and create 3D visualizations and automated reports that communicate findings to clients and senior stakeholders.

Requirements

Requires a bachelor’s or master’s degree in a quantitative field, substantial applied statistics training, at least three years of relevant industry experience, and strong Python, statistical analysis, and visualization skills. Candidates should also have experience with large hierarchical datasets and cloud platforms, and be able to explain statistical findings to senior non-technical audiences.

Skills

Applied Statistics
Probability
Experimental Design
Hypothesis Testing
Causal Inference
Data Integrity Auditing
Python
Data Processing
Statistical Modeling
Data Visualization
AWS
Cloud Computing
Large-Scale Data Analysis
3D Visualization
Communication

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Applied Statistics
Probability
Experimental Design
Deep Learning
Statistical Validation
Hypothesis Testing
Causal Inference
Bayesian Inference
Time-Series Analysis
Multivariate Statistics
Python
AWS
Cloud Computing
Data Integrity
Hierarchical Datasets
Non-Relational Storage
Analysis Pipelines
Automated Reporting
3D Visualization
Volumetric Imaging
Point Cloud Data
GIS
Geospatial Analysis
Signal Processing
Acoustic Waveforms
Statistical Process Control
Defect Metrology
Industrial Imaging
Ultrasound Imaging

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