Growth Data Scientist — Product Analytics & Experimentation

Comfy; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Company-sponsored Medical, Dental, and Vision (up to 100% coverage)

Unlimited PTO

Daily catered lunch and dinner

Your choice of equipment

Unlimited budget for AI tools

Job summary

Comfy in San Francisco seeks a dedicated Product and Growth Data Scientist to analyze key metrics influencing user growth and engagement. This hands-on role involves owning the growth funnel, designing experiments, and partnering with teams to leverage insights.

The ideal candidate has prior experience in product-led environments, strong SQL and Python skills, and is comfortable with data modeling and experimentation.

Benefits include full medical coverage, unlimited PTO, and catered meals. Join a small team focused on AI tools and creative solutions.

Qualifications

• Several years in product or growth data science at a large scale.
• Hands-on experience: can write own SQL and Python.
• Strong understanding of experimentation and statistical judgment.

Responsibilities

• Own and analyze growth funnel metrics: signup, activation, conversion, retention.
• Design and run experiments to validate hypotheses.
• Build predictive models for growth.

Skills

Product or growth data science

SQL

Python

Experimentation skills

Data modeling

Tools

PostHog

dbt

Job description

Comfy in San Francisco seeks a dedicated Product and Growth Data Scientist to analyze key metrics influencing user growth and engagement. This hands-on role involves owning the growth funnel, designing experiments, and partnering with teams to leverage insights.

The ideal candidate has prior experience in product-led environments, strong SQL and Python skills, and is comfortable with data modeling and experimentation.

Benefits include full medical coverage, unlimited PTO, and catered meals. Join a small team focused on AI tools and creative solutions.