Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$137к-206к/год
$100к$160кмедиана$200к
По похожим ролям (19) ~ $160к/год
На СНГ рынке: $4.2к/мес ($3.2к - $4.4к)
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Крутая вакансия
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Чётко описанная senior-роль объединяет эксперименты, продуктовую аналитику и измеримый бизнес-эффект в компании на стыке кибербезопасности и страхования, с хорошими льготами и возможностью влиять на решения.
Актуальные технологии
Понятные задачи
Киберстрахование
Хорошие льготы
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (Insurance): Measuring and optimizing the cyber insurance business through analytics, experimentation, statistical methods, and scalable data workflows with an accent on customer journey insights, funnel metrics, and revenue optimization. Focus on designing rigorous experiments, building executive-ready dashboards, developing analytics models, and translating complex data into product and operational decisions.
Location: Remote within Canada
Base salary: $137,300–$205,900/year in Alberta, British Columbia, and Ontario; $123,600–$185,300/year in all other Canadian locations.
Company
hirify.global provides active insurance coverage and cybersecurity tools to help businesses prevent and manage digital risk.
What you will do
Lead cross-functional analytics projects across the end-to-end cyber insurance customer journey.
Design and analyze experiments, defining standards for test design, statistical power, guardrails, and interpretation.
Define and maintain funnel metrics, automated dashboards, and leadership reporting.
Develop data models and scalable analytical workflows to improve reliability, repeatability, and time-to-insight.
Synthesize data from disparate sources into actionable recommendations for product and revenue leadership, including OKR tracking.
Support analytics agents through context engineering and data analysis; mentor junior analysts and scientists and contribute to code quality and documentation standards.
Requirements
6+ years of experience in analytics or data science with demonstrated product or revenue impact.
Expert SQL skills, including complex modeling, performance optimization, and clear documentation.
Proficiency in Python or R for analysis, experimentation, and reproducible workflows.
Strong knowledge of statistical methods, including hypothesis testing, experiment design, causal thinking, and interpretation.
Experience with BI tools such as Looker or Tableau and the ability to build reliable, executive-ready dashboards.
Excellent communication and stakeholder management skills, including explaining technical work to non-technical audiences.
Nice to have
Experience with AI-assisted coding tools such as Cursor or GitHub Copilot.
Experience in insurance, insurtech, fintech, or other regulated industries.
Familiarity with Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora.
Experience with analytics workflow tools such as dbt or Airflow.
Exposure to causal inference methods and quasi-experimental designs.
Culture & Benefits
Remote-first, inclusive culture focused on protecting businesses from digital risk.
100% medical, dental, and vision coverage.
Flexible PTO, annual home office stipend, and WeWork access.
Mental and physical wellness programs, including Headspace and Lumino.
Competitive compensation and opportunities for advancement.
Human recruiting teams make final hiring decisions; interviewed candidates receive an application status update within 45 days of the final interview.
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