Data Scientist, Analytics

🕒 July 20

🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ZestyAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛡️ Insurance

💰 Debt Financing on 2022-07

Artificial Intelligence • Insurance

ZestyAI is a company that leverages artificial intelligence to deliver risk insights for the insurance industry, transforming risk assessment and management practices. Their AI-powered solutions provide peril-specific risk models for natural disasters such as wildfires, severe storms, hail, and wind, as well as property insights covering aspects like roof age and location data. ZestyAI's offerings are trusted by leading insurers across North America, such as Amica Insurance and the California Fair Plan, to improve underwriting and pricing strategies. By providing regulator-approved insights, ZestyAI helps insurers make smarter decisions to enhance property risk management and foster stronger communities.

📋 Description

• 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

• 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

• 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