Emissions Scientist

GHGSAT; Montreal; On-site; CAD 70,000 - 90,000; Full time

Job summary

An environmental technology company based in Montreal is seeking an Emissions Scientist to develop statistical methods for estimating greenhouse gas emissions. The ideal candidate will work collaboratively within teams and has an advanced degree in relevant fields. This role offers competitive salary, stock options, and a flexible work environment.

Benefits

Competitive salary

Stock options

Health/Dental benefits

Paid Time Off

Flexible work environment

Qualifications

• Proven experience as a research scientist developing rigorous methods to estimate physically meaningful insights from empirical data.
• Strong communication skills and critical, bold thinking in all situations.
• Experience managing and resolving multiple priorities and project complexities.

Responsibilities

• Develop statistical methods to estimate emissions using GHGSat emissions data.
• Incorporate and validate emissions estimates from various sources.
• Present results to both technical and non-technical audiences.

Skills

Emissions estimation using remote sensing measurements

Energy system modeling

Atmospheric modeling

Data science (machine learning and statistical inference)

Geospatial data processing

Strong analytical and problem-solving skills

Ability to work collaboratively

Education

Advanced degree in Remote Sensing, Statistics, Energy Systems Modeling, Physics, Computer Science, Data Science, Artificial Intelligence

Job description

Overview

Emissions Scientist — GHGSat maps and tracks the world's greenhouse gas (GHG) emitters. GHGSat operates its own satellite and aircraft sensors to collect emissions data and uses this with third-party data to identify and classify potential GHG emission sites, detect, quantify and attribute GHG emissions to sources, and generate measurement-informed emissions inventories and other valuable insights for customers.

Responsibilities

• Develop statistical methods to use GHGSat emissions data to estimate emissions over different temporal and spatial scales
• Incorporate emissions estimates from other sources such as bottom-up inventories and models
• Validate, improve, and integrate methods developed by others
• Work collaboratively within the Science and Analytics teams and with other Subject Matter Experts across the organisation to design and prototype solutions for analytics problems
• Present results (to technical and non-technical audiences)
• Provide high attention to detail with ability to manage and resolve multiple priorities, project complexities and uncertainties
• Keep abreast of the relevant scientific literature
• Demonstrate strong communication skills and critical, bold thinking in all situations
• In-depth experience with some or all of the following:

1. Emissions estimation using remote sensing measurements
2. Energy system modeling
3. Atmospheric modeling
4. Data science (machine learning and statistical inference)
5. Geospatial data processing

• Proven experience as a research scientist developing rigorous methods to estimate physically meaningful insights from empirical data
• Advanced degree in Remote Sensing, Statistics, Energy Systems Modeling, Physics, Computer Science, Data Science, Artificial Intelligence, or similar
• Strong analytical and problem-solving skills with the ability to work collaboratively in a cross-functional team
• Proven ability to deliver projects on time

Benefits

• 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.