# Senior Data Scientist, Growth

**Company:** [Fal](https://hotfix.jobs/companies/fal)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $190k – $230k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, A/B Testing, Causal Inference, Attribution Modeling, Ltv Modeling, Cohort Analysis, Google Ads, Meta Ads, Unit Economics
**Posted:** 2026-05-13

> 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.

## Job Description

## 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

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