ZestyAI
From ZestyAI's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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
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
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
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
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in