Greenhouse - Data Scientist
Requirements
• 3-6 years of experience as a data scientist, analytics engineer, or product data analyst • Demonstrated experience working within a B2B business model • Proven track record of building scalable analytical frameworks and automated reporting suites that bridge technical data stacks with business outcomes • Documented success in translating raw product output into insights that influence long-term executive roadmaps • Expertise in writing complex SQL queries • Proficiency using programming languages (Python or SQL) for data manipulation, statistical modeling, and analysis • Experience with Version control (Git), and orchestration tools • Strong ability to work cross-functionally with Product teams to identify opportunities where data science can solve user pain points • Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply • Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time. • For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company. • The national pay range for this role is $105,800 - $132,300 CAD. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.
Responsibilities
• Communicate complex technical findings to executive leadership to influence Greenhouse's 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 the drivers of customer retention and product adoption • Design, write, and maintain production-quality code (Python or SQL) to build scalable data pipelines, automated analyses, and predictive models • Write complex, highly optimized SQL queries to extract, clean, and transform large-scale datasets from cloud data warehouses (e.g., Snowflake, Redshift, or BigQuery) • Interface with distributed analysts to provide guidance on complex modeling and advanced statistical techniques • Advocate for data-first product design, ensuring that telemetry and event tracking are prioritized during the feature development lifecycle
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