GHGSat offers greenhouse gas detection, measurement, and monitoring services to industrial and government customers around the world. We use our own satellites and aircraft sensors, combined with third-party data, to help industrial emitters better understand, control, and reduce their emissions.

GHGSat's capability is unique: we provide high-resolution, local measurements of atmospheric methane and carbon dioxide concentration from space. This further enables us to detect greenhouse gas emitters and to visualize and quantify their emissions. We are looking for a data scientist to join the Science and Systems team. You will focus on applying computer vision and machine learning techniques to automate data processing.

The Science and Systems team has a flexible work environment with the option for remote work, but we expect applicants to work partially out of one of our offices with a preference for our office in Montreal, Canada.

Key responsibilities

Improve the processing of GHGSat data using machine learning techniques or physics-based techniques

Design, train, and optimize machine learning models for image classification, object detection, and segmentation

Rapidly prototype methods and techniques from scientific literature

Perform exploratory data analysis to identify predictive features and insights

Engage with a range of stakeholders, including domain experts and data validators to improve methodology and model performance

Collaborate with software developers to deploy models and algorithms to production

Essential skills and experience

MSc or higher in physics, engineering, theoretical chemistry or biology, math,



computational science or related fields

Strong Python skills

Ability to document and summarize key insights

Excellent problem-solving skills and attention to detail

Preferred skills and experience

Knowledge of probability and statistics

Experience with image processing and computer vision

Experience applying machine learning techniques to complex real-world data

Proficiency using Python machine learning libraries such as Pytorch, Tensorflow, and Sklearn

Experience handling Remote sensing data

Experience in collaborative software development (git) · Experience using and building Docker images

Eligibility

All applicants must be legally entitled to work in Canada and must meet the requirements of the Canadian Controlled Goods Program (CGP).

Benefits

This is a rare opportunity to work on urgent problems. You’ll join a small but high-impact team and help scale a company doing meaningful work for the planet.

Competitive salary and stock options for all full-time employees

Health and dental benefits

Paid time off and floating statutory holidays

Flexible work workplace

GHGSat offers a creative and highly motivating work environment. We provide competitive compensation, comprehensive benefits, flexible work arrangements, and opportunities for ongoing development.

We are committed to building a diverse and inclusive workplace. GHGSat is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, age, or any other legally protected status. If you require accommodation, please notify your recruiter.

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📌 Data Scientist (Full-time Remote) (Montreal)
🏢 GHGSat
📍 Montreal