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FalFalSan Francisco, CA

Senior Data Scientist, Growth

Build growth analytics infrastructure from scratch, analyze acquisition channels, model unit economics like CAC/LTV/ROAS, and run experiments to shape marketing strategy at a generative AI company. Requires 5+ years in growth analytics with advanced SQL/Python skills.

190k – 230k
On-site5+ YOEData Science

About the role

Responsibilities

  • Build fal's growth measurement foundation — define the event taxonomy, attribution model, channel hierarchy, and reporting infrastructure.
  • Stand up acquisition analytics across paid, organic, content, community, and partnership channels.
  • Shape top-of-funnel growth strategy; translate signals into recommendations.
  • Define and operationalize unit economics (CAC, LTV, LTV:CAC, payback period, ROAS, cohort performance).
  • Design and run growth experiments end-to-end.
  • Help shape 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 (taxonomy, pipelines, instrumentation).
  • Strategy-and-tactics mindset with hands-on channel-level acquisition analysis (Google, Meta, organic, content, community, partnerships).
  • Strong fluency with growth unit economics (CAC, LTV, attribution, incrementality).
  • Experience building LTV and cohort models in sparse/evolving data environments.
  • Advanced SQL and proficiency in Python for analytics and experimentation.
  • Strong experimentation: A/B testing, holdout designs, causal inference.
  • Comfort with ambiguity and owner mentality.
  • Track record of shipping growth experiments impacting marketing budgets.

Nice-to-haves

  • Experience standing up performance marketing measurement from zero.
  • Experience with developer-facing or API products.
  • Background in community-led, content-led, or partnerships-led growth.
  • Early-stage or fast-scaling environment experience.

Compensation

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

Skills

SQLPythonA/B TestingCausal InferenceAttribution ModelingLtv ModelingCohort AnalysisGoogle AdsMeta AdsUnit Economics

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