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Data Scientist

12 hours, 27 minutes ago
Canada
Full-time
Mid Level
Data Scientist
Data Science and Analytics
GCP Git Python Snowflake SQL
Apply Now
Greenhouse Software

Greenhouse Software

Greenhouse is a leading hiring software company that provides a comprehensive suite of tools and services to help businesses excel in their hiring practices. With a focus on fair and equitable hiring, Greenhouse offers scalable workflows and innovative...

Professional Services
251-1K
Founded 2012
$110M raised
View All Jobs 9

Description

  • Communicate complex technical findings to executive leadership to influence the long-term roadmap.
  • Partner with Product Managers to identify opportunities where data science can solve user pain points.
  • Conduct deep-dive statistical analysis to uncover drivers of customer retention and product adoption.
  • Design, write, and maintain production-quality code in Python or SQL to build scalable data pipelines, automated analyses, and predictive models.
  • Write complex SQL queries to extract, clean, and transform large-scale datasets from cloud data warehouses such as Snowflake, Redshift, or BigQuery.
  • Apply software engineering best practices, including version control, code reviews, and orchestration tools, to ensure robust and reproducible analyses.
  • Guide distributed analysts on complex modeling and advanced statistical techniques.
  • Advocate for data-first product design by ensuring telemetry and event tracking are built into the feature development lifecycle.
  • Architect foundational telemetry with Product teams so every new feature is instrumented for analysis from day one.

Requirements

  • 3-6 years of experience as a data scientist, analytics engineer, or product data analyst.
  • Experience working within a B2B business model.
  • Proven track record of building scalable analytical frameworks and automated reporting suites.
  • Demonstrated success translating raw product output into insights that influence executive roadmaps.
  • Expertise in writing complex SQL queries.
  • Proficiency with Python or SQL for data manipulation, statistical modeling, and analysis.
  • Experience with Git and orchestration tools.
  • Strong ability to work cross-functionally with Product teams.
  • Legal eligibility to work in Canada without sponsorship as of the start date.
  • Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery (preferred).
  • Experience in a multidisciplinary data science and analytics environment (preferred).

Benefits

  • Competitive national pay range of $105,800 - $132,300 CAD.
  • Eligibility for additional compensation, including stock option awards, bonuses, and merit increases.
  • Bonus structure that rewards great performance.
  • Remote-first work environment.
  • Shared office spaces in New York City and Ireland, plus optional co-working spaces.
  • Performance review program with actionable feedback.
  • Inclusive culture with employee resource groups.

Interested in this position?

Apply directly on the company website

Apply Now

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