Data Scientist, Analytics

ZestyAI; Montreal; Remote; CAD 80,000 - 120,000; Full time

Job summary

ZestyAI is seeking a Data Scientist, Analytics, to join their innovative team based in Montreal. The ideal candidate will leverage data science methods to enhance risk modeling, specifically focusing on developing ETL processes and monitoring quality metrics. Collaborating closely with engineering, you'll contribute to scalable models to prepare for natural disasters, all within a flexible and upbeat work culture that values collaborative effort and creativity.

Benefits

Comprehensive health care plan

Flexible Time Off

Market competitive compensation

Company-sponsored outings and offsites

Equity incentives

Qualifications

• 2 - 3 years of experience in ETL and dashboard design.
• Experience with cloud platforms like Google Cloud and AWS.
• Proficient in SQL and programming languages like Python or R.

Responsibilities

• Develop automated ETL and data workflows.
• Spearhead product monitoring and quality assurance.
• Translate product management constraints into tractable data science questions.

Skills

SQL

Python

R

Data Visualization

Machine Learning

Deep Learning

Organizational Skills

Management Skills

Education

BA / BS in Math, Physics, Engineering, Computer Science, or Economics

MS or Ph.D.

Tools

Google Cloud Platform

AWS

DBT

Airflow

Prefect

Job description

Data Scientist, Analytics (Remote, Quebec)

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