Data Scientist, B2B Growth - San Francisco
About The Role
We’re looking for a Data Scientist to partner closely with Product Management on an upcoming product initiative. This is a hands-on role designed for someone who can identify the right problems to solve, execute rigorous analysis end-to-end, and translate insights into clear product decisions. You will operate in an early-stage product environment where ambiguity is high, metrics are evolving, and early decisions have an outsized impact on product adoption, active usage, and future monetization opportunities.
What You Will Do
Own the Growth & Commercial Architecture: Architect and define key commercial metrics, funnels, and leading indicators across user acquisition, activation, conversion, retention, and revenue performance.
Drive Monetization & Pricing Strategy: Partner with leadership to support subscription monetization, packaging, and pricing decisions by building structured evaluation frameworks and clear, data-backed recommendations.
Lead Growth & Marketing Experimentation: Design, execute, and validate marketing campaigns, growth initiatives, and product-led growth (PLG) experiments, ensuring strict statistical rigor (A/B testing, cohort modeling).
Proactive Funnel Diagnostics: Act as the detective for our revenue engine. You will hunt down the root causes behind metric anomalies, conversion fluctuations, or performance dips, translating raw data into executive-ready narratives and decision memos.
Scale Self-Serve Data Products: Build automated dashboards and robust business review materials that give Go-To-Market (GTM) teams and executives trusted, crystal-clear visibility into real-time performance.
Align Global Analytics: Partner closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
Minimum Qualifications
- The Experience: 3–5+ years of experience in growth data science, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies.
- Technical Foundation: Advanced SQL proficiency and deep experience with commercial analytics methods (funnel analysis, cohort analysis, lifetime value modeling, user segmentation).
- Strong hands-on experience building out modern BI reporting systems (e.g., Looker, Tableau, Metabase).
- Strategic Ownership: High ownership mindset with a proven ability to turn complex, multi-touch datasets into clear, actionable business strategies. You take pride in moving projects independently from data pull to executive pitch.
- Business Acumen: Strong commercial intuition. You understand sales funnels (e.g., renewal, expansion) and know how marketing channels interact with product conversion.
- Communication: Clear, compelling communication skills with the ability to bridge the gap between technical datasets and non-technical growth partners.
Preferred Qualifications
- Direct experience supporting B2B monetization, packaging changes, or hardware-plus-software pricing strategy.
- Comfort using AI-assisted analytics tools or automation workflows to maximize analytical efficiency.
- A background working in fast-paced tech environments or early-stage products with rapidly evolving data infrastructure.