Senior Data Scientist (Growth)

TL;DR

Senior Data Scientist, Growth (AI): Build growth measurement foundation including event taxonomy, attribution model, channel hierarchy, and reporting infrastructure with an accent on acquisition analytics across paid, organic, content, community, and partnership channels. Focus on defining unit economics (CAC, LTV, ROAS), designing end-to-end growth experiments, and shaping top-of-funnel strategy from early signals.

Location: San Francisco (relocation assistance offered)

Salary: $190,000 - $230,000 + equity + comprehensive benefits package

Company

hirify.global is the generative media ecosystem powering the next generation of AI products with infrastructure, tools, and model access for developers and enterprises.

What you will do

• Define event taxonomy, attribution model, channel hierarchy, and reporting infrastructure for the marketing org.
• Build acquisition analytics across paid, organic, content, community, and partnership channels.
• Shape top-of-funnel growth strategy and translate signals into recommendations.
• Operationalize unit economics including CAC, LTV, payback period, ROAS, and cohort performance.
• Design and run growth experiments end-to-end from hypothesis to analysis and recommendations.
• Help scale the broader data and analytics capability for growth.

Requirements

• 5+ years in data science, growth analytics, or growth strategy, ideally at PLG or developer-tools companies
• Experience building growth analytics infrastructure from early stages including taxonomy and pipelines
• Hands-on channel-level acquisition analysis across paid (Google, Meta), organic, content, community, and partnerships
• Strong fluency with growth unit economics, LTV/cohort models, and experimentation (A/B testing, causal inference)
• Advanced SQL and Python proficiency for analytics and experimentation
• Strategy-and-tactics mindset with owner mentality and track record of impactful growth recommendations

Nice to have

• Experience with developer-facing or API products
• Background in community-led, content-led, or partnerships-led growth
• Early-stage or fast-scaling environment, especially as first/early data hire for marketing
• Standing up performance marketing measurement from zero ad spend

Culture & Benefits

• Interesting and challenging work with learning and growth opportunities
• Health, dental, and vision insurance (US)
• Regular team events and offsites
• Relocation assistance to San Francisco