Data Scientist, GTM & Enterprise AI Acceleration

Qualifications:

• Significant experience in data science, product analytics, growth analytics, economics, statistics, or a related quantitative field.
• Strong hands-on ability in SQL and Python, including experience working with large and imperfect behavioral datasets.
• Experience defining activation, retention, engagement, funnel, or product-adoption metrics, with strong knowledge of experimentation, causal inference, cohort analysis, and segmentation.
• Ability to translate ambiguous business questions into structured analyses, independently define the analytical direction, and bring senior stakeholders along through clear tradeoff framing.
• Strong written and verbal communication skills, including a demonstrated ability to influence senior technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with enterprise SaaS, collaboration products, AI products, developer tools, productivity software, or multi-product platforms.
• Experience connecting product usage to revenue, expansion, customer health, enablement, or other GTM interventions.
• Experience with identity resolution, cross-surface journeys, telemetry design, evolving product taxonomies, or qualitative customer evidence.
• Experience helping establish a new data science area, operating model, technical roadmap, or recurring executive decision cadence.