Data Scientist

About DarkVision Technologies Inc.

DarkVision, established in 2013 and based in Vancouver, is pioneering the industrial imaging sector with its innovative acoustic imaging platform. Supported by Blackstone, one of the largest global private equity firms, DarkVision's diverse team includes Software, Mechanical, Machine Learning Engineers, and Data Analysts working on groundbreaking technology that integrates science into practical applications.

Role Overview

We are looking for a Data Scientist to join our Imaging & AI team in North Vancouver. This role involves validating the statistical integrity and business relevance of our models by managing experimental design, causal analysis, and audits ensuring data accuracy. As the conduit between complex data analytics, machine learning models, and business insights, you will process large-scale ultrasound imaging datasets and create robust verification pipelines and sophisticated visualizations tailored for stakeholders.

Key Responsibilities

• Design and carry out robust experiments to test deep learning model performance, ensuring results are reliable and reproducible through applied statistical techniques.
• Perform thorough data integrity examinations, identifying data biases, inconsistencies, or quality problems that may affect modeling accuracy.
• Develop advanced 3D visualizations and automated reporting tools to effectively communicate technical findings to senior leadership.
• Create and maintain automated Python-based processing and statistical analysis workflows integral to model validation pipelines.

Qualifications

• Bachelor's or Master's in Statistics, Physics, Mathematics, or a related quantitative discipline with strong applied statistics expertise.
• A minimum of three years of industry experience in data science or related analytical roles.
• Advanced skills in Python programming for data analysis, statistics, and visualization.
• Solid understanding of statistics, including modeling and hypothesis testing applied to real-world data experiments.
• Experience presenting complex statistical findings clearly using appropriate visualization techniques.
• Knowledge of AWS or similar cloud platforms for data management and computing.
• Proven ability handling large and hierarchical datasets, including non-relational data storage.
• Excellent communication skills to convey technical information effectively to non-technical senior executives.

Preferred Skills

• Expertise in Bayesian inference, time-series analysis, causal inference, and multivariate statistics.
• Experience designing validation studies such as A/B tests or clinical trial methodologies for algorithmic products.
• Applied statistics background in industrial or scientific environments (e.g., process control, yield engineering, defect metrology, experimental physics).
• Familiarity with GIS and geospatial data processing techniques.
• Experience interpreting and visualizing large 3D datasets such as volumetric imaging or point clouds.
• Ability to analyze complex, high-dimensional, unstructured data like images, signals, or acoustic waveforms.
• Advanced academic credentials (MSc or PhD) and a record of peer-reviewed publications in relevant scientific fields.

Compensation

The anticipated salary range for this position is between 100000 and 150000 annually, with eligibility for variable compensation in the form of bonuses or alternative incentives.

Keywords

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