Emissions Scientist

GHGSAT; Montreal (administrative region); On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading environmental technology firm in Canada is seeking a skilled data analyst to estimate greenhouse gas emissions using satellite and aircraft data. The successful candidate will employ statistical methods and work with various teams to solve complex analytics problems. This role offers a competitive salary, stock options, and a flexible work environment, aiming to innovate within a diverse and inclusive team.

Benefits

Competitive salary + stock options

Health/Dental benefits

Flexible work environment

Qualifications

• In-depth experience with emissions estimation techniques.
• Proven experience as a research scientist with rigorous methods.
• Strong communication skills for presenting results.

Responsibilities

• Develop statistical methods for estimating emissions.
• Collaborate within teams for analytics problem solutions.
• Validate and improve existing estimation methods.

Skills

Emissions estimation using remote sensing

Data science

Geospatial data processing

Strong analytical skills

Problem-solving skills

Education

Advanced degree in relevant fields

Job description

Location: MTL or CGY (Hybrid 2x in office preferred, though remote work may be considered)

GHGSat is mapping and tracking the world's greenhouse gas (GHG) emitters. To accomplish this goal GHGSat operates its own satellite and aircraft sensors to collect emissions data, and uses these with third-party data to:

• Identify and classify potential GHG emission sites
• Detect, quantify and attribute GHG emissions to sources
• Generate measurement-informed emissions inventories and other valuable insights from this dataset to our customers.

The successful candidate will collaborate with other members of the Science and Analytics teams to develop methods to estimate site, sector, and region-level emission magnitudes and behaviour (e.g. persistence, emissions duration, dependence on facility type, etc..) using modern data science and research techniques. Opportunities to present work in scientific papers and conferences are possible.

Duties

• 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

Requirements

• In-depth experience with some or all of the following:
• Emissions estimation using remote sensing measurements
• Energy system modeling
• Atmospheric modeling
• Data science (machine learning and statistical inference)
• 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.