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 floods 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 are comfortable and excited to work closely with the engineering team to build the best AI tech possible. You will scale the development of top-tier models by using diverse data sources to provide strong insights and maximize the impact of our company efforts. You thrive in a collaborative, creative environment that moves fast and are comfortable implementing structures and processes to help the company scale.
The Opportunity:
- Develop automated ETL and data workflows
- Spearhead product monitoring and quality assurance by designing and owning dashboards and KPIs
- Translate product management, engineering, and business constraints and queries into tractable data science questions
- Exploring data sets and developing new InsureTech models with data science (Machine learning, Deep learning)
- 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 designing and building ETL workflow and monitoring dashboards
- Strong organizational and management skills with past experiences Implementing best practices and processes
- 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
- 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
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