Senior Data Scientist, Product & Growth

Comfy•San Francisco, CA

5d•$180,000 - $250,000•Onsite

About The Position

Comfy is looking for its first dedicated product and growth data scientist. This is a hands-on, senior individual contributor role focused on understanding the user funnel, identifying areas for growth, and driving data-informed decisions. The role involves owning the analysis of signup, activation, conversion, and retention, and collaborating directly with growth, product teams, and founders. The data scientist will be empowered to identify key questions, conduct thorough analysis, and translate findings into actionable strategies.

Requirements

Several years in product or growth data science, ideally at a product-led or consumer company with real scale
Genuinely hands-on: you write your own SQL and Python, build your own models, and don't need a platform team to get answers
Know experimentation cold, both the statistics and the judgment, and can tell a real effect from noise
Think in funnels and systems, and connect a metric to the decision it should drive
Communicate in plain language, and aren't afraid to deliver an inconvenient finding
Have built data models or pipelines when the job needed it (dbt, warehouse), even if analysis is your main game
Care about AI and creative tools, ideally as a ComfyUI user
Like a small, intense team: high ownership, low ego, fast clock
Are in SF or ready to be

Nice To Haves

You've stood up an experimentation program or an analytics stack from scratch
You're comfortable with PostHog, dbt, or similar tools
You can point to analysis that changed what a company did, not just what it knew

Responsibilities

Own the metrics that define our growth funnel: signup, activation, conversion, retention, and how they connect
Design and run experiments (A/B tests and beyond), and read them honestly, including when the answer is "no effect"
Build the models that matter for growth: activation prediction, churn and retention, conversion propensity, and LTV
Turn messy product and billing events into clean, trusted analysis (we run on PostHog and a warehouse)
Find the leverage: the few places where a small change in the funnel produces an outsized result, and size the opportunity before we build
Make your work legible with clear metrics, dashboards, and writeups the whole team can act on
Partner with growth and product day to day, and with the founders on the bets that matter