Data Scientist
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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).
Note: We understand that you may not have experience with every tool or technique listed here. If you have a strong foundation in data science and a willingness to learn, we encourage you to apply!
Benefits
This is a rare opportunity to join a new analytics team in Canada. You'll join a small but mighty team, have high impact, and help scale a company that's doing meaningful work for the planet.
- Competitive salary + stock options for all full-time employees
- Health/Dental benefits
- Paid Time Off + floating statutory holidays
- Flexible work environment
GHGSat offers a creative and highly motivating work environment. We offer competitive salaries, health and social benefits including flex-time and continuing development. We are committed to 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 other legally protected status. If you would like to request an accommodation, please notify your recruiter.
More about this job
Responsibilities
Improve GHGSat data processing using machine learning or physics-based methods, and design, train, and optimize models for image classification, object detection, and segmentation. Prototype research methods, analyze data for predictive insights, collaborate with domain experts and validators, and work with software developers to deploy models and algorithms.
Requirements
A master's degree or higher in a relevant scientific, engineering, mathematical, or computational field is required, along with strong Python skills, clear documentation, problem-solving ability, and attention to detail. Preferred qualifications include statistics, computer vision, machine learning with complex data, remote sensing, collaborative software development with Git, and Docker experience; applicants must be legally entitled to work in Canada and meet Canadian Controlled Goods Program requirements.
Skills
- Python
- Machine Learning
- Computer Vision
- Image Classification
- Object Detection
- Image Segmentation
- Exploratory Data Analysis
- Probability and Statistics
- Image Processing
- PyTorch
- TensorFlow
- Scikit-Learn
- Remote Sensing
- Git
- Docker
- Model Deployment
Benefits
- Stock Options
- Health and Dental Benefits
- Paid Time Off
- Floating Statutory Holidays
- Flexible Work Environment
- Continuing Development
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Science & Research
- Technology
- Environmental & Sustainability
- Software
Keywords
- Greenhouse Gas Monitoring
- Methane
- Carbon Dioxide
- Satellite Data
- Aircraft Sensors
- Remote Sensing
- Data Processing
- Machine Learning
- Physics-Based Methods
- Computer Vision
- Image Classification
- Object Detection
- Image Segmentation
- Scientific Literature
- Exploratory Data Analysis
- Predictive Features
- Python
- Probability and Statistics
- Image Processing
- PyTorch
- TensorFlow
- Scikit-Learn
- Git
- Docker
- Model Optimization
- Model Deployment