Our mission 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. Join us to do the best work of your career, solving meaningful problems with remarkable teams.

Greenhouse is looking for a Data Scientist to join our team! 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.

What You’Ll Do

, Snowflake, Redshift, or BigQuery) Apply software engineering best practices to data science workflows, utilizing version control (Git), code reviews, and orchestration tools to ensure robust and reproducible analyses 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 You should have 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!