ZestyAI Logo

ZestyAI

Data Scientist, Analytics (Remote, Canada)

Posted Yesterday
Remote
Hiring Remotely in Canada
Junior
Remote
Hiring Remotely in Canada
Junior
Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.
The summary above was generated by AI

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
  • Own data quality of ZestyAI data products
  • Spearhead product monitoring and quality assurance by designing and owning 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

Similar Jobs

An Hour Ago
Remote
3 Locations
Expert/Leader
Expert/Leader
Productivity • Software • App development • Automation
Lead North America and LATAM sales for new customer acquisition and Compliance (iText). Define regional GTM, build and coach sales leaders and AEs, drive new logo revenue, forecasting, pipeline health, executive relationships, partner network, and cross-functional collaboration to accelerate enterprise and commercial growth.
Top Skills: APIsCRMDeveloper ToolsInfrastructure SoftwareItextRevopsSales EngineeringSalesopsSdks
2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead cloud security engagements for financial services in Canada, supporting pre- and post-sales, questionnaires, incident investigations, threat analysis, and AI/GenAI risk discussions. Drive customer meetings, presentations, cross-functional remediation, design improvements, and contribute to security messaging, contract negotiations, and industry standards participation.
Top Skills: Agentic AiCloud OperationsCloud SecurityEnterprise Cyber DefenseGenerative AiItilItsmSecurity OperationsServicenowThreat Analysis
3 Hours Ago
Remote
Canada
Senior level
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The role involves managing partner relationships, driving sales growth, collaborating on business strategies, and monitoring performance within the Coupa ecosystem.
Top Skills: Cloud PlatformsEnterprise Software SolutionsSalesforce

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account