Data Scientist, Analytics

ZestyAI

Data Scientist applying data science to complex product and business problems at ZestyAI. Collaborating with cross-functional teams to ensure high-quality data products.

Posted 7/20/2026full-timeRemote • 🇨🇦 CanadaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and product performance measurement through statistical methods and data science techniques. Proficient in developing automated ETL workflows and designing dashboards to ensure data quality and effective decision-making.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingData Workflow DevelopmentDashboard DesignCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsExperimental MethodsData ScienceETL Development

Soft Skills

Organizational SkillsAnalytical Problem-SolvingManagement Skills

Tools & Technologies

Google Cloud PlatformAWS

Industry Keywords

Product ManagementData QualityKPI MonitoringCross-Functional Collaboration

Tech Stack

Tools & technologies

AWSCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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