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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_27ecbf0a-523"},"title":"Senior GTM Data Scientist","description":"<p>We are building a GTM Data Products team to embed machine learning and AI directly into our Sales and Marketing workflows. We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve customer acquisition, sales efficiency, and customer retention and expansion.</p>\n<p>This is not a reporting role. This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.</p>\n<p>You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.</p>\n<p><strong>What will I be doing?</strong></p>\n<ul>\n<li>Build Revenue-Impacting ML Systems</li>\n<li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>\n<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>\n<li>Monitor model performance and iterate for measurable business lift</li>\n<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>\n<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>\n</ul>\n<p>You don’t just build models - you ensure they change behavior.</p>\n<p><strong>Own End-to-End Data Products</strong></p>\n<ul>\n<li>Translate ambiguous business problems into clear, measurable objectives</li>\n<li>Define GTM data products vision, success metrics, and roadmap</li>\n<li>Ensure integration into existing workflows and systems</li>\n<li>Lead stakeholder alignment and change management</li>\n<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>\n</ul>\n<p>You operate as a mini GM for your data products.</p>\n<p><strong>Architect Scalable Data Foundations</strong></p>\n<ul>\n<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>\n<li>Ensure data quality, governance, and reproducibility</li>\n<li>Elevate the team’s standards for experimentation, documentation, and knowledge sharing</li>\n<li>Push adoption of new tools and AI capabilities where appropriate</li>\n</ul>\n<p>You raise the technical bar for the GTM organization.</p>\n<p><strong>What impact might I have?</strong></p>\n<p>Within 6-12 months, you might:</p>\n<ul>\n<li>Launch predictive models that materially improve conversion, expansion, or retention</li>\n<li>Reduce inefficiencies in Sales workflows through automation</li>\n<li>Help leadership make investment decisions backed by rigorous data science</li>\n<li>Influence GTM strategy through quantitative insight and modeling</li>\n</ul>\n<p>Success is measured in business outcomes - not dashboards built.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_27ecbf0a-523","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7652268","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$197,600 - $246,713","x-skills-required":["Expert-level SQL","Advanced Python or R for modeling and experimentation","Strong foundation in statistics and experimental design","Predictive modeling","Feature engineering"],"x-skills-preferred":["Causal inference or uplift modeling","Model deployment & monitoring"],"datePosted":"2026-04-18T15:55:52.628Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Expert-level SQL, Advanced Python or R for modeling and experimentation, Strong foundation in statistics and experimental design, Predictive modeling, Feature engineering, Causal inference or uplift modeling, Model deployment & monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197600,"maxValue":246713,"unitText":"YEAR"}}}]}