Data Scientist, Analytics (Remote, Canada)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 56d ago
The date the source published, not the day we noticed it (2026-07-20). Last seen at its source 2h ago.
Is it remote?
Remote (Canada)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $136.8k–203.8k/yr
Middle 50% of 55 listings that do state pay — Operations · all levels · Canada · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 11d ago · last seen 2h ago
The listing
Data Scientist, Analytics
(Remote, Canada)
Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats.
ZestyAI uses novel data gathering and data science methods to produce higher quality information about the risks to property from catastrophes like storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes.
As a Data Scientist, Analytics, you will work closely with product, engineering, and machine learning teams to apply data science to complex product and business problems.You will use diverse data sources to evaluate product performance, generate actionable insights, and support evidence-based decision-making across ZestyAI’s products.You will also help establish the analytical processes, monitoring frameworks, and best practices needed to maintain product quality and scale the organization. You thrive in a collaborative, creative environment that moves fast and are comfortable implementing structures and processes to help the company scale.
The Opportunity:
- Translate product management, engineering, and business questions into structured analytical approaches, applying appropriate statistical, experimental, and data science methods to measure product performance and guide decision-making
- Champion data quality of ZestyAI data products
- Lead product monitoring and quality assurance by designing and maintaining dashboards and KPIs
- Develop automated ETL and data workflows
- Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
What You Bring to the ZestyAI Team:
- BA / BS degree in Math, Physics, Engineering, Computer Science, or Economics
- MS or Ph.D. is certainly a bonus
- 2–3 years of experience in analytics, data science, or related roles, including experience building data workflows, defining metrics, and developing dashboards or monitoring tools
- Strong organizational and management skills with past experiences implementing best practices and processes
- Strong analytical problem-solving skills and comfort working with ambiguous, cross-functional questions
- Proficient in SQL
- Proficient in programming language (Python or R)
- Experience working with cloud platforms (Google Cloud Platform, AWS, etc)
- Must be legally eligible to work in Canada
Nice to Have:
- 1 - 2 years of experience working with imagery and/or geospatial data
- Working knowledge of modeling framework and performance metrics
- Familiarity with, or an interest in, experimental design, causal inference, and applied statistical methods
- DBT Experience
- Prefect (or another workflow tool like Airflow) Experience
- Data Visualization Experience
Why ZestyAI:
- Be part of a well-funded growth-stage company
- Market competitive comp and equity incentives to give you a stake in our future
- Comprehensive health care plan
- Flexible Time Off
- An upbeat and collaborative work culture
- Company-sponsored outings and offsites