Data Scientist

<div class="content-intro"><p>Our <a href="https://www.greenhouse.com/mission" target="_blank">mission</a> at Greenhouse is to make hiring work for everyone – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can achieve our mission.</p> <p>Join us to do the best work of your career, solving meaningful problems with remarkable teams.</p></div><p>Greenhouse is looking for a <strong>Data Scientist</strong> to join our team!</p> <p>As a Data Scientist within our Corporate Development and Analytics department, you will join a multidisciplinary team of data scientists and business analysts dedicated to driving Greenhouse’s data strategy by building sophisticated data products. Serving as the bridge between raw product output and executive level decision making, you will partner upstream with Product teams to architect foundational telemetry, ensuring that every new feature is instrumented for deep dive analysis from day one. You will solve complex user pain points and ensure our long-term roadmap is backed by proactive, informed data productization.</p> <h2><strong><br>Who will love this job</strong></h2> <ul> <li><strong>A Connector </strong>– You bridge the gap between complex statistical findings and actionable executive strategy to influence long-term roadmaps</li> <li><strong>A Technical Specialist </strong>– You take pride in writing high quality, production ready code and applying engineering best practices to every data pipeline</li> <li><strong>A Cross-functional Partner </strong>– You thrive when working alongside product and data platform teams to solve user pain points through shared expertise</li> <li><strong>A Data Strategist</strong> – You prioritize a data-first approach, ensuring that telemetry and tracking are integrated into every stage of the product lifecycle</li> <li><strong>An Analyst </strong>– You are energized by deep dives into data to uncover the core drivers of customer retention and product adoption</li> <li><strong>A Builder </strong>– You enjoy creating scalable, automated analytical frameworks that replace manual tasks with long-term efficiency</li> </ul> <h2><strong><br>What you’ll do</strong></h2> <ul> <li>Communicate complex technical findings to executive leadership to influence Greenhouse's long-term roadmap</li> <li>Partner with Product Managers to identify opportunities where data science can solve user pain points</li> <li>Conduct deep-dive statistical analysis to uncover the drivers of customer retention and product adoption</li> <li>Design, write, and maintain production-quality code (Python or SQL) to build scalable data pipelines, automated analyses, and predictive models</li> <li>Write complex, highly optimized SQL queries to extract, clean, and transform large-scale datasets from cloud data warehouses (e.g., Snowflake, Redshift, or BigQuery)</li> <li>Apply software engineering best practices to data science workflows, utilizing version control (Git), code reviews, and orchestration tools to ensure robust and reproducible analyses</li> <li>Interface with distributed analysts to provide guidance on complex modeling and advanced statistical techniques</li> <li>Advocate for data-first product design, ensuring that telemetry and event tracking are prioritized during the feature development lifecycle</li> </ul> <h2><strong><br>You should have</strong></h2> <ul> <li><span style="font-weight: 400;">3-6 years of experience as a data scientist, analytics engineer, or product data analyst</span></li> <li><span style="font-weight: 400;">Demonstrated experience working within a B2B business model</span></li> <li><span style="font-weight: 400;">Proven track record of building scalable analytical frameworks and automated reporting suites that bridge technical data stacks with business outcomes</span></li> <li><span style="font-weight: 400;">Documented success in translating raw product output into insights that influence long-term executive roadmaps</span></li> <li><span style="font-weight: 400;">Expertise in writing complex SQL queries</span></li> <li><span style="font-weight: 400;">Proficiency using programming languages (Python or SQL) for data manipulation, statistical modeling, and analysis</span></li> <li><span style="font-weight: 400;">Experience with Version control (Git), and orchestration tools</span></li> <li><span style="font-weight: 400;">Strong ability to work cross-functionally with Product teams to identify opportunities where data science can solve user pain points</span></li> <li><span style="font-weight: 400;">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</span></li> </ul> <p> </p> <p><em>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.</em></p> <p><em><span style="font-weight: 400;">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.</span></em></p> <p><em><span style="font-weight: 400;">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.</span></em></p> <p> </p><div class="content-conclusion"><h2><strong>Who we are</strong></h2> <p>At Greenhouse, we live by our mission through <a href="https://www.greenhouse.com/interviewing-at-greenhouse" target="_blank">using our own product</a> to help us hire the right person for the job, every time. We’re committed to designing and responsibly using AI tools to transform how we work while keeping people at the center. We are a remote-first company and have shared office spaces in New York City and Ireland, and optional co-working spaces that give us flexibility to do our best work anywhere. We take an active role in our growth through a performance review program that’s committed to providing actionable feedback, and a bonus structure that rewards great performance. We believe that bringing together a variety of perspectives makes us a stronger company – and we nurture leaders who create an inclusive culture and invest into employee resource groups that celebrate our differences and life experiences. We’re proud to have built an <a href="https://www.greenhouse.com/awards" target="_blank">award-winning culture</a> that’s been recognized as Fortune’s Best Places to Work and Inc.’s Best Workplaces multiple years in a row. </p> <p>– </p> <p><em>Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to accommodations@greenhouse.io.</em></p> <p><em>Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See </em><a href="https://www.greenhouse.com/candidate-phishing-scams" target="_blank"><em>this page</em></a><em> on our website if you suspect a phishing scam.</em></p></div>

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